Subject‐level reliability analysis of fast fMRI with application to epilepsy

Recent studies have applied the new magnetic resonance encephalography (MREG) sequence to the study of interictal epileptic discharges (IEDs) in the electroencephalogram (EEG) of epileptic patients. However, there are no criteria to quantitatively evaluate different processing methods, to properly use the new sequence.

[1]  Irene Tracey,et al.  Quantitative assessment of the reproducibility of functional activation measured with BOLD and MR perfusion imaging: Implications for clinical trial design , 2005, NeuroImage.

[2]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[3]  Robert Turner,et al.  A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI , 2000, NeuroImage.

[4]  Alan C. Evans,et al.  Multi-level bootstrap analysis of stable clusters in resting-state fMRI , 2009, NeuroImage.

[5]  Mark D'Esposito,et al.  Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses , 2004, NeuroImage.

[6]  Bernard Ng,et al.  Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination , 2015, NeuroImage.

[7]  Karl J. Friston,et al.  Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.

[8]  J. Gotman,et al.  Quality of EEG in simultaneous EEG-fMRI for epilepsy , 2003, Clinical Neurophysiology.

[9]  Jean Gotman,et al.  Advantages and disadvantages of a fast fMRI sequence in the context of EEG–fMRI investigation of epilepsy patients: A realistic simulation study , 2015, NeuroImage.

[10]  Jean Gotman,et al.  Increased sensitivity of fast BOLD fMRI with a subject-specific hemodynamic response function and application to epilepsy , 2014, NeuroImage.

[11]  Alan C. Evans,et al.  A General Statistical Analysis for fMRI Data , 2000, NeuroImage.

[12]  Andreas Schulze-Bonhage,et al.  Fast fMRI provides high statistical power in the analysis of epileptic networks , 2014, NeuroImage.

[13]  J. Gotman,et al.  Contribution of EEG/fMRI to the definition of the epileptic focus , 2012, Neurology.

[14]  Matti S Hämäläinen,et al.  Dynamic magnetic resonance inverse imaging of human brain function , 2006, Magnetic resonance in medicine.

[15]  Yihong Yang,et al.  Frequency specificity of functional connectivity in brain networks , 2008, NeuroImage.

[16]  J. Hajnal,et al.  Artifacts due to stimulus correlated motion in functional imaging of the brain , 1994, Magnetic resonance in medicine.

[17]  D C Noll,et al.  Estimating test‐retest reliability in functional MR imaging II: Application to motor and cognitive activation studies , 1997, Magnetic resonance in medicine.

[18]  Lawrence L. Wald,et al.  Event-related single-shot volumetric functional magnetic resonance inverse imaging of visual processing , 2008, NeuroImage.

[19]  Jean Gotman,et al.  EEG‐fMRI of focal epileptic spikes: Analysis with multiple haemodynamic functions and comparison with gadolinium‐enhanced MR angiograms , 2004, Human brain mapping.

[20]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[21]  Karthik Ramakrishnan Sreenivasan,et al.  Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering , 2015, IEEE Transactions on Medical Imaging.

[22]  C. Genovese,et al.  Estimating test‐retest reliability in functional MR imaging I: Statistical methodology , 1997, Magnetic resonance in medicine.

[23]  Olaf Sporns,et al.  Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.

[24]  Oliver Speck,et al.  MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance , 2007, NeuroImage.

[25]  Pierre Bellec,et al.  A BOOTSTRAP TEST TO INVESTIGATE CHANGES IN BRAIN CONNECTIVITY FOR FUNCTIONAL MRI , 2008 .

[26]  Stephen M. Smith,et al.  Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging , 2010, PloS one.

[27]  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.

[28]  S. Petersen,et al.  Characterizing the Hemodynamic Response: Effects of Presentation Rate, Sampling Procedure, and the Possibility of Ordering Brain Activity Based on Relative Timing , 2000, NeuroImage.

[29]  G. Srivastava,et al.  ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner , 2005, NeuroImage.

[30]  Michael Eickenberg,et al.  Data-driven HRF estimation for encoding and decoding models , 2014, NeuroImage.

[31]  Mark E. Bastin,et al.  Single subject fMRI test–retest reliability metrics and confounding factors , 2013, NeuroImage.

[32]  P. Mansfield Multi-planar image formation using NMR spin echoes , 1977 .

[33]  Jürgen Hennig,et al.  Single shot whole brain imaging using spherical stack of spirals trajectories , 2013, NeuroImage.

[34]  J. Hennig,et al.  Fast functional brain imaging using constrained reconstruction based on regularization using arbitrary projections , 2009, Magnetic resonance in medicine.

[35]  Yingli Lu,et al.  Using voxel-specific hemodynamic response function in EEG-fMRI data analysis , 2006, NeuroImage.

[36]  Xi-Nian Zuo,et al.  Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.

[37]  Jean Gotman,et al.  Changes preceding interictal epileptic EEG abnormalities: Comparison between EEG/fMRI and intracerebral EEG , 2011, Epilepsia.

[38]  M. D’Esposito,et al.  The variability of human BOLD hemodynamic responses , 1998, NeuroImage.

[39]  Egill Rostrup,et al.  Motion or activity: their role in intra- and inter-subject variation in fMRI , 2005, NeuroImage.

[40]  Steven C. R. Williams,et al.  Measuring fMRI reliability with the intra-class correlation coefficient , 2009, NeuroImage.

[41]  G. Glover Deconvolution of Impulse Response in Event-Related BOLD fMRI1 , 1999, NeuroImage.

[42]  Thomas Witzel,et al.  Linear constraint minimum variance beamformer functional magnetic resonance inverse imaging , 2008, NeuroImage.

[43]  Tom Loeys,et al.  Bootstrapping fMRI Data: Dealing with Misspecification , 2015, Neuroinformatics.

[44]  Nick F. Ramsey,et al.  Test–retest reliability of fMRI activation during prosaccades and antisaccades , 2007, NeuroImage.

[45]  Mohammad Ali Oghabian,et al.  False positive control of activated voxels in single fMRI analysis using bootstrap resampling in comparison to spatial smoothing. , 2013, Magnetic resonance imaging.

[46]  J. Hennig,et al.  Three‐dimensional MR‐encephalography: Fast volumetric brain imaging using rosette trajectories , 2011, Magnetic resonance in medicine.