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ORCIDNeuroImage, Volume 154
Volume 154, July 2017
- Molly G. Bright
, Kevin Murphy:
Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies. 1-3 - Thomas T. Liu:
Reprint of 'Noise contributions to the fMRI signal: An Overview'. 4-14 - Lawrence L. Wald, Jonathan R. Polimeni:
Impacting the effect of fMRI noise through hardware and acquisition choices - Implications for controlling false positive rates. 15-22 - An T. Vu, Keith Jamison, Matthew F. Glasser, Stephen M. Smith, Timothy S. Coalson, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Essa Yacoub:
Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project. 23-32 - Maxim Zaitsev, Burak Akin, Pierre LeVan, Benjamin R. Knowles:
Prospective motion correction in functional MRI. 33-42 - Manus J. Donahue, Meher R. Juttukonda, Jennifer M. Watchmaker:
Noise concerns and post-processing procedures in cerebral blood flow (CBF) and cerebral blood volume (CBV) functional magnetic resonance imaging. 43-58 - Prantik Kundu, Valerie Voon, Priti Balchandani, Michael V. Lombardo, Benedikt A. Poser, Peter A. Bandettini:
Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals. 59-80 - Daniel P. Bulte, Karolina Wartolowska:
Monitoring cardiac and respiratory physiology during FMRI. 81-91 - Saskia Bollmann, Lars Kasper, S. Johanna Vannesjo, Andreea O. Diaconescu, Benjamin E. Dietrich, Simon Gross, Klaas E. Stephan, Klaas P. Pruessmann:
Analysis and correction of field fluctuations in fMRI data using field monitoring. 92-105 - Simon Gross, Laetitia Vionnet, Lars Kasper, Benjamin E. Dietrich, Klaas P. Pruessmann:
Physiology recording with magnetic field probes for fMRI denoising. 106-114 - Rodolfo Abreu, Sandro Nunes, Alberto Leal, Patrícia Figueiredo:
Physiological noise correction using ECG-derived respiratory signals for enhanced mapping of spontaneous neuronal activity with simultaneous EEG-fMRI. 115-127 - César Caballero-Gaudes, Richard C. Reynolds:
Methods for cleaning the BOLD fMRI signal. 128-149 - Jonathan D. Power:
A simple but useful way to assess fMRI scan qualities. 150-158 - Molly G. Bright, Christopher R. Tench, Kevin Murphy:
Potential pitfalls when denoising resting state fMRI data using nuisance regression. 159-168 - Kevin Murphy, Michael D. Fox:
Towards a consensus regarding global signal regression for resting state functional connectivity MRI. 169-173 - Rastko Ciric, Daniel H. Wolf, Jonathan D. Power, David R. Roalf, Graham L. Baum, Kosha Ruparel, Russell T. Shinohara, Mark A. Elliott, Simon B. Eickhoff, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett, Theodore D. Satterthwaite:
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. 174-187 - Ludovica Griffanti, Gwenaëlle Douaud, Janine D. Bijsterbosch, Stefania Evangelisti, Fidel Alfaro-Almagro, Matthew F. Glasser, Eugene P. Duff, Sean P. Fitzgibbon, Robert Westphal, Davide Carone, Christian F. Beckmann, Stephen M. Smith:
Hand classification of fMRI ICA noise components. 188-205 - Javier Gonzalez-Castillo, Gang Chen, Thomas E. Nichols, Peter A. Bandettini:
Variance decomposition for single-subject task-based fMRI activity estimates across many sessions. 206-218 - Jeanette A. Mumford:
Reprint of 'A Comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?'. 219-229 - Catherine Fassbender, Prerona Mukherjee, Julie B. Schweitzer:
Reprint of: Minimizing noise in pediatric task-based functional MRI; Adolescents with developmental disabilities and typical development. 230-239 - Nathan William Churchill, Pradeep Reddy Raamana, Robyn Spring, Stephen C. Strother:
Optimizing fMRI preprocessing pipelines for block-design tasks as a function of age. 240-254 - Falk Eippert, Yazhuo Kong, Mark Jenkinson, Irene Tracey, Jonathan C. W. Brooks:
Denoising spinal cord fMRI data: Approaches to acquisition and analysis. 255-266 - Shella D. Keilholz, Wen-Ju Pan, Jacob C. Billings, Maysam Nezafati, Sadia Shakil:
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies. 267-281
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