Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
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WH Thompson | R Nair | H Oya | O Esteban | JM Shine | CI Petkov | RA Poldrack | M Howard | R Adolphs | R. Adolphs | M. Howard | H. Oya | O. Esteban | W. Thompson | R. Nair | R. Poldrack | J. Shine | C. Petkov | M. Howard | William Hedley Thompson | Hiroyuki Oya | Oscar Esteban | James M. Shine | Christopher I. Petkov | Russell A. Poldrack | Ralph Adolphs | James M Shine | Ralph Adolphs
[1] Krzysztof J. Gorgolewski,et al. OpenNeuro – a free online platform for sharing and analysis of neuroimaging data , 2017 .
[2] C. Lanczos. Evaluation of Noisy Data , 1964 .
[3] J. Felmlee,et al. Global network modulation during thalamic stimulation for Tourette syndrome , 2018, NeuroImage: Clinical.
[4] Clark Glymour,et al. A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images , 2016, International Journal of Data Science and Analytics.
[5] Jordan M. Malof,et al. Distributed solar photovoltaic array location and extent dataset for remote sensing object identification , 2016, Scientific Data.
[6] Satrajit S. Ghosh,et al. Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python , 2011, Front. Neuroinform..
[7] Charles L. Wilson,et al. Electric current stimulates laughter , 1998, Nature.
[8] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[9] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[10] Clark Glymour,et al. Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods , 2019, Network Neuroscience.
[11] Satrajit S. Ghosh,et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments , 2016, Scientific Data.
[12] R. Buckner,et al. Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases , 2014, Proceedings of the National Academy of Sciences.
[13] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[14] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[15] A. Lozano,et al. Deep Brain Stimulation for Treatment-Resistant Depression , 2005, Neuron.
[16] Russell A. Poldrack,et al. MRIQC: Predicting Quality in Manual MRI Assessment Protocols Using No-Reference Image Quality Measures , 2016 .
[17] K. Ikemura. Development and application , 1971 .
[18] Karl J. Friston,et al. Therapeutic Subthalamic Nucleus Deep Brain Stimulation Reverses Cortico-Thalamic Coupling during Voluntary Movements in Parkinson's Disease , 2012, PloS one.
[19] Russell A. Poldrack,et al. Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines , 2018 .
[20] Christopher K. Kovach,et al. Mapping effective connectivity in the human brain with concurrent intracranial electrical stimulation and BOLD-fMRI , 2017, Journal of Neuroscience Methods.
[21] M. Greicius,et al. The Will to Persevere Induced by Electrical Stimulation of the Human Cingulate Gyrus , 2013, Neuron.
[22] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[23] A. Dale,et al. Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images , 2016, PloS one.
[24] Thomas Neuberger,et al. Mapping the functional network of medial prefrontal cortex by combining optogenetics and fMRI in awake rats , 2015, NeuroImage.
[25] Gerwin Schalk,et al. Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives. , 2018, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[26] Satrajit S. Ghosh,et al. FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, bioRxiv.
[27] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[28] Bonnie E. Shook-Sa,et al. . CC-BY-NC-ND 4 . 0 International licenseIt is made available under a is the author / funder , who has granted medRxiv a license to display the preprint in perpetuity , 2021 .
[29] Christopher K. Kovach,et al. A functional connection between inferior frontal gyrus and orofacial motor cortex in human. , 2004, Journal of neurophysiology.
[30] Brian B. Avants,et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..
[31] Krzysztof J. Gorgolewski,et al. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites , 2016, bioRxiv.
[32] R W Cox,et al. Software tools for analysis and visualization of fMRI data , 1997, NMR in biomedicine.
[33] C. Almli,et al. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.
[34] Thomas T. Liu,et al. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.
[35] Satrajit S. Ghosh,et al. Mindboggling morphometry of human brains , 2016, bioRxiv.
[36] Frederick Eberhardt,et al. Causal mapping of emotion networks in the human brain: Framework and initial findings , 2017, Neuropsychologia.
[37] A. Lozano,et al. Probing and Regulating Dysfunctional Circuits Using Deep Brain Stimulation , 2013, Neuron.
[38] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[39] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[40] Joseph T. Lizier,et al. Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series , 2020, ArXiv.
[41] Mark W. Woolrich,et al. Constrained linear basis sets for HRF modelling using Variational Bayes , 2004, NeuroImage.
[42] Wenbin Li,et al. Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI , 2017, Front. Neuroinform..
[43] Christopher K. Kovach,et al. Common fronto-temporal effective connectivity in humans and monkeys , 2020, Neuron.
[44] 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.
[45] J. Felmlee,et al. Motor and Nonmotor Circuitry Activation Induced by Subthalamic Nucleus Deep Brain Stimulation in Patients With Parkinson Disease: Intraoperative Functional Magnetic Resonance Imaging for Deep Brain Stimulation. , 2015, Mayo Clinic proceedings.
[46] M. Raichle,et al. Disease and the brain's dark energy , 2010, Nature Reviews Neurology.
[47] B. Mädler,et al. Rapid Effects of Deep Brain Stimulation for Treatment-Resistant Major Depression , 2013, Biological Psychiatry.
[48] Karl Deisseroth,et al. Optogenetics: development and application , 2009, Neuroscience Research.
[49] I. Fried,et al. Memory enhancement and deep-brain stimulation of the entorhinal area. , 2012, The New England journal of medicine.
[50] J. Parvizi,et al. Human Neuroscience , 2022 .
[51] M. Greicius. Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.
[52] Jorge Gonzalez-Martinez,et al. Functional Magnetic Resonance Imaging Networks Induced by Intracranial Stimulation May Help Defining the Epileptogenic Zone , 2014, Brain Connect..
[53] K. Grill-Spector,et al. Electrical Stimulation of Human Fusiform Face-Selective Regions Distorts Face Perception , 2012, The Journal of Neuroscience.
[54] Satrajit S. Ghosh,et al. BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods , 2016, bioRxiv.
[55] Ethan R. Buch,et al. Noninvasive brain stimulation: from physiology to network dynamics and back , 2013, Nature Neuroscience.
[56] Daniel S. Margulies,et al. Evaluating nonlinear coregistration of BOLD EPI and T1w images , 2014 .