Less head motion during MRI under task than resting-state conditions
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Koene R. A. Van Dijk | Monique M. B. Breteler | Rüdiger Stirnberg | Willem Huijbers | Meta M. Boenniger | M. Breteler | W. Huijbers | K. V. Dijk | R. Stirnberg
[1] 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.
[2] M. Lindquist,et al. Meta-analysis of functional neuroimaging data: current and future directions. , 2007, Social cognitive and affective neuroscience.
[3] Caroline A. Montojo,et al. Disrupted working memory circuitry and psychotic symptoms in 22q11.2 deletion syndrome , 2014, NeuroImage: Clinical.
[4] Cedric E. Ginestet. ggplot2: Elegant Graphics for Data Analysis , 2011 .
[5] Oluwasanmi Koyejo,et al. Toward open sharing of task-based fMRI data: the OpenfMRI project , 2013, Front. Neuroinform..
[6] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[7] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[8] Steen Moeller,et al. ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging , 2014, NeuroImage.
[9] Tamara Vanderwal,et al. Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging , 2015, NeuroImage.
[10] Gregory L. Stuart,et al. Evaluation of a behavioral measure of risk taking: the Balloon Analogue Risk Task (BART). , 2002, Journal of experimental psychology. Applied.
[11] Charles Lance,et al. State and Trait Components of Turnover Intentions , 2017 .
[12] J. Giedd,et al. Subtle in‐scanner motion biases automated measurement of brain anatomy from in vivo MRI , 2016, Human brain mapping.
[13] Vivek Prabhakaran,et al. The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated , 2013, NeuroImage.
[14] Michael F. Green,et al. Social cognition in 22q11.2 microdeletion syndrome: Relevance to psychosis? , 2012, Schizophrenia Research.
[15] Sanford Weisberg,et al. An R Companion to Applied Regression , 2010 .
[16] Andrew Caplin,et al. Using Big Data to Understand the Human Condition: The Kavli HUMAN Project , 2015, Big Data.
[17] Zhang Qi-hong. Improved Optimization for Simplex Method Based on Matrix Calculation , 2006 .
[18] H. Yamasue,et al. Head Motion and Correction Methods in Resting-state Functional MRI , 2015, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.
[19] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[20] Monique M. B. Breteler,et al. The Rotterdam Study: 2016 objectives and design update , 2015, European Journal of Epidemiology.
[21] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[22] Alan C. Evans,et al. Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS , 2014, Front. Aging Neurosci..
[23] G H Glover,et al. Motion Artifacts in fMRI: Comparison of 2DFT with PR and Spiral Scan Methods , 1995, Magnetic resonance in medicine.
[24] Nancy Kanwisher,et al. Spurious group differences due to head motion in a diffusion MRI study , 2013, NeuroImage.
[25] Maxim Zaitsev,et al. Prospective motion correction in functional MRI , 2017, NeuroImage.
[26] D. Hu,et al. Neurobiological basis of head motion in brain imaging , 2014, Proceedings of the National Academy of Sciences.
[27] Mert R. Sabuncu,et al. The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.
[28] Edward E. Smith,et al. A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory , 1996, NeuroImage.
[29] Abraham Z. Snyder,et al. Function in the human connectome: Task-fMRI and individual differences in behavior , 2013, NeuroImage.
[30] Michael W. Weiner,et al. 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception , 2015, Alzheimer's & Dementia.
[31] Eliza Congdon,et al. Decreasing Ventromedial Prefrontal Cortex Activity During Sequential Risk-Taking: An fMRI Investigation of the Balloon Analog Risk Task , 2012, Frontiers in Neuroscience.
[32] G. Deco,et al. Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.
[33] R. Cameron Craddock,et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.
[34] Ed X. Wu,et al. Long-term, passive exposure to non-traumatic acoustic noise induces neural adaptation in the adult rat medial geniculate body and auditory cortex , 2015, NeuroImage.
[35] M. Tsolaki,et al. Computerized Cognitive Testing for Older Adults , 2015, American journal of Alzheimer's disease and other dementias.
[36] Krzysztof J. Gorgolewski,et al. Making big data open: data sharing in neuroimaging , 2014, Nature Neuroscience.
[37] Mark A. Elliott,et al. Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth , 2012, NeuroImage.
[38] K. Saleh,et al. Comprehensive assessment. , 2012, Nursing older people.
[39] Jonathan D. Power,et al. Recent progress and outstanding issues in motion correction in resting state fMRI , 2015, NeuroImage.
[40] G. Northoff,et al. Rest-stimulus interaction in the brain: a review , 2010, Trends in Neurosciences.
[41] Christina Malamateniou,et al. Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction , 2014, NeuroImage.
[42] Reisa A. Sperling,et al. Harvard Aging Brain Study: Dataset and accessibility , 2017, NeuroImage.
[43] Reisa A. Sperling,et al. The Encoding/Retrieval Flip: Interactions between Memory Performance and Memory Stage and Relationship to Intrinsic Cortical Networks , 2013, Journal of Cognitive Neuroscience.
[44] Russell A. Poldrack,et al. OpenfMRI: Open sharing of task fMRI data , 2017, NeuroImage.
[45] Tyrone D. Cannon,et al. Predicting risky choices from brain activity patterns , 2014, Proceedings of the National Academy of Sciences.
[46] Randy L. Buckner,et al. Mixed blocked/event-related designs separate transient and sustained activity in fMRI , 2003, NeuroImage.
[47] M. Goldhacker,et al. Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement , 2016, NeuroImage.
[48] M. Zaitsev,et al. Motion artifacts in MRI: A complex problem with many partial solutions , 2015, Journal of magnetic resonance imaging : JMRI.
[49] Linda Geerligs,et al. State and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State , 2015, The Journal of Neuroscience.
[50] P. Matthews,et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study , 2016, Nature Neuroscience.
[51] Jonathan W. Peirce,et al. PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.
[52] M. Dylan Tisdall,et al. Head motion during MRI acquisition reduces gray matter volume and thickness estimates , 2015, NeuroImage.
[53] P. Fransson. How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations , 2006, Neuropsychologia.
[54] M. Dylan Tisdall,et al. Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion , 2016, NeuroImage.
[55] Geoffrey A Kerchner,et al. Cross-species translation of the Morris maze for Alzheimer's disease. , 2016, The Journal of clinical investigation.
[56] Jarrad Harford,et al. Author ' s Accepted Manuscript Bond Market Access and Investment , 2015 .
[57] Thorsten Feiweier,et al. Reducing sensitivity losses due to respiration and motion in accelerated echo planar imaging by reordering the autocalibration data acquisition , 2016, Magnetic resonance in medicine.
[58] Tyrone D. Cannon,et al. Phenomics: the systematic study of phenotypes on a genome-wide scale , 2009, Neuroscience.
[59] Eliza Congdon,et al. Neural activation during response inhibition in adult attention-deficit/hyperactivity disorder: Preliminary findings on the effects of medication and symptom severity , 2014, Psychiatry Research: Neuroimaging.
[60] Heath R. Pardoe,et al. Motion and morphometry in clinical and nonclinical populations , 2016, NeuroImage.