Does higher sampling rate (Multiband + SENSE) benefit the detection of task correlated BOLD for cognitive neuroscience applications at 3T?

Multiband (MB) or Simultaneous multi-slice (SMS) acquisition schemes allow the acquisition of MRI signals from more than one spatial coordinate at a time. Commercial availability has brought this technique within the reach of many neuroscientists and psychologists. Most early evaluation of the performance of MB acquisition employed resting state fMRI or the most basic tasks. In this study, we tested whether the advantages of using MB acquisition schemes generalize to group analyses using a cognitive task more representative of typical cognitive neuroscience applications. Twenty-three subjects were scanned on a Philips 3T scanner using five sequences up to eight-fold acceleration with MB-factors 1 to 4, SENSE factors up to 2 and corresponding TRs of 2.45s down to 0.63s, while they viewed (i) movies showing complex actions with hand object interactions and (ii) control movies without hand object interaction. Using random effects group-level, voxel-wise analysis we found that all sequences were able to detect the basic action observation network known to be recruited by our task. The highest t-values were found for sequences with MB4 acceleration. For the MB1 sequence, a 50% bigger voxel volume was needed to reach comparable t-statistics. The group-level t-values for resting state networks (RSNs) were also highest for MB4 sequences. Here the MB1 sequence with larger voxel size did not perform comparable to the MB4 sequence. Altogether, we can thus recommend the use of MB4 (and SENSE 1.5 or 2) on a Philips scanner when aiming to perform group-level analyses using cognitive block design fMRI tasks and voxel sizes in the range of cortical thickness (e.g. 2.7mm isotropic). While results will not be dramatically changed by the use of multiband, our results suggest that MB will bring a moderate but significant benefit.

[1]  Kawin Setsompop,et al.  Simultaneous Multislice Resting-State Functional Magnetic Resonance Imaging at 3 Tesla: Slice-Acceleration-Related Biases in Physiological Effects , 2017, Brain Connect..

[2]  Yunjie Tong,et al.  Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors , 2014, Human brain mapping.

[3]  C. Keysers,et al.  μ-Suppression during Action Observation and Execution Correlates with BOLD in Dorsal Premotor, Inferior Parietal, and SI Cortices , 2011, The Journal of Neuroscience.

[4]  K. Whittingstall,et al.  Structural impacts on the timing and amplitude of the negative BOLD response. , 2018, Magnetic resonance imaging.

[5]  Christian Keysers,et al.  Action perception recruits the cerebellum and is impaired in spinocerebellar ataxia patients , 2018, bioRxiv.

[6]  Valentin Riedl,et al.  Evaluation of Multiband EPI Acquisitions for Resting State fMRI , 2015, PloS one.

[7]  Brian W. Haas,et al.  Functional connectivity during affective mentalizing in criminal offenders with psychotic disorders: Associations with clinical symptoms , 2018, Psychiatry Research: Neuroimaging.

[8]  Stephen M. Smith,et al.  Distinct resting-state functional connections associated with episodic and visuospatial memory in older adults , 2017, NeuroImage.

[9]  Steen Moeller,et al.  Evaluation of highly accelerated simultaneous multi-slice EPI for fMRI , 2015, NeuroImage.

[10]  Christian Keysers,et al.  The anthropomorphic brain: The mirror neuron system responds to human and robotic actions , 2007, NeuroImage.

[11]  Thomas T. Liu,et al.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.

[12]  Roland N. Boubela,et al.  Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest , 2013, Front. Hum. Neurosci..

[13]  Stephen D. Mayhew,et al.  Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans , 2018, Human brain mapping.

[14]  Steen Moeller,et al.  Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts , 2016, NeuroImage.

[15]  Mark W. Woolrich,et al.  Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.

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

[17]  Tae Kim,et al.  Enhancement of functional MRI signal at high‐susceptibility regions of brain using simultaneous multiecho multithin‐slice summation imaging technique , 2016, Journal of magnetic resonance imaging : JMRI.

[18]  Lawrence L. Wald,et al.  Physiological noise and signal-to-noise ratio in fMRI with multi-channel array coils , 2011, NeuroImage.

[19]  Steen Moeller,et al.  Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project , 2013, NeuroImage.

[20]  Song Zhi,et al.  Quantum dynamics of tight-binding networks coherently controlled by external fields , 2007 .

[21]  Nicole Seiberlich,et al.  Improvements in multislice parallel imaging using radial CAIPIRINHA , 2011, Magnetic resonance in medicine.

[22]  Steen Moeller,et al.  Simultaneous multislice multiband parallel radiofrequency excitation with independent slice‐specific transmit B1 homogenization , 2013, Magnetic resonance in medicine.

[23]  David G Norris,et al.  Power independent of number of slices (PINS) radiofrequency pulses for low‐power simultaneous multislice excitation , 2011, Magnetic resonance in medicine.

[24]  Yihong Yang,et al.  Spontaneous functional network dynamics and associated structural substrates in the human brain , 2015, Front. Hum. Neurosci..

[25]  Martin Blaimer,et al.  Multiband phase‐constrained parallel MRI , 2013, Magnetic resonance in medicine.

[26]  Yunjie Tong,et al.  Studying the Spatial Distribution of Physiological Effects on BOLD Signals Using Ultrafast fMRI , 2014, Front. Hum. Neurosci..

[27]  Ewald Moser,et al.  The impact of EPI voxel size on SNR and BOLD sensitivity in the anterior medio-temporal lobe: a comparative group study of deactivation of the Default Mode , 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

[28]  Douglas C Noll,et al.  Coil compression in simultaneous multislice functional MRI with concentric ring slice‐GRAPPA and SENSE , 2016, Magnetic resonance in medicine.

[29]  Steen Moeller,et al.  ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging , 2014, NeuroImage.

[30]  Kawin Setsompop,et al.  Ultra-fast MRI of the human brain with simultaneous multi-slice imaging. , 2013, Journal of magnetic resonance.

[31]  Felix Breuer,et al.  Simultaneous multislice (SMS) imaging techniques , 2015, Magnetic resonance in medicine.

[32]  Yang Wang,et al.  Functional connectivity density mapping: comparing multiband and conventional EPI protocols , 2017, Brain Imaging and Behavior.

[33]  Nikolaus Weiskopf,et al.  The quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses , 2016, NeuroImage.

[34]  Jeffrey S. Anderson,et al.  Evaluation of Differences in Temporal Synchrony Between Brain Regions in Individuals With Autism and Typical Development , 2018, JAMA network open.

[35]  C. Keysers,et al.  Primary somatosensory contribution to action observation brain activity—combining fMRI and cTBS , 2016, Social cognitive and affective neuroscience.

[36]  Peter J. Koopmans,et al.  Whole brain, high resolution multiband spin-echo EPI fMRI at 7T: A comparison with gradient-echo EPI using a color-word Stroop task , 2014, NeuroImage.

[37]  Rexford D. Newbould,et al.  A comprehensive evaluation of increasing temporal resolution with multiband-accelerated protocols and effects on statistical outcome measures in fMRI , 2018, NeuroImage.

[38]  Daniel B. Rowe,et al.  Impacts of simultaneous multislice acquisition on sensitivity and specificity in fMRI , 2018, NeuroImage.

[39]  Markus Barth,et al.  Serial correlations in single-subject fMRI with sub-second TR , 2017, NeuroImage.

[40]  David W Carmichael,et al.  Optimal repetition time reduction for single subject event‐related functional magnetic resonance imaging , 2018, Magnetic resonance in medicine.

[41]  Vince D. Calhoun,et al.  Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data , 2017, Front. Neuroinform..

[42]  J. Polimeni,et al.  Blipped‐controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g‐factor penalty , 2012, Magnetic resonance in medicine.

[43]  Yufeng Zang,et al.  Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study , 2013, NeuroImage.

[44]  L. Shah,et al.  Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state , 2016, Brain and behavior.

[45]  Thomas T. Liu,et al.  Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA , 2015, NeuroImage.

[46]  Ramesh Venkatesan,et al.  Multiband fMRI as a plausible, time-saving technique for resting-state data acquisition: Study on functional connectivity mapping using graph theoretical measures. , 2018, Magnetic resonance imaging.

[47]  Baxter P. Rogers,et al.  Improving measurement of functional connectivity through decreasing partial volume effects at 7T , 2012, NeuroImage.

[48]  Roland N. Boubela,et al.  Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Community Identification , 2015, Front. Neurosci..

[49]  Essa Yacoub,et al.  Less noise, more activation: Multiband acquisition schemes for auditory functional MRI , 2015, Magnetic resonance in medicine.

[50]  William A. Cunningham,et al.  Type I and Type II error concerns in fMRI research: re-balancing the scale. , 2009, Social cognitive and affective neuroscience.

[51]  Jonas Larsson,et al.  fMRI repetition suppression: neuronal adaptation or stimulus expectation? , 2012, Cerebral cortex.

[52]  Amanda F. Mejia,et al.  Zen and the Art of Multiple Comparisons , 2015, Psychosomatic medicine.

[53]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[54]  Yunjie Tong,et al.  Short repetition time multiband echo‐planar imaging with simultaneous pulse recording allows dynamic imaging of the cardiac pulsation signal , 2014, Magnetic resonance in medicine.

[55]  Steen Moeller,et al.  Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.

[56]  João Jorge,et al.  Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T , 2017, Magnetic resonance in medicine.

[57]  Kawin Setsompop,et al.  Simultaneous multislice excitation by parallel transmission , 2014, Magnetic resonance in medicine.

[58]  Klaus Scheffler,et al.  Effect of temporal resolution and serial autocorrelations in event‐related functional MRI , 2016, Magnetic resonance in medicine.

[59]  L. Nickerson,et al.  College Binge Drinking Associated with Decreased Frontal Activation to Negative Emotional Distractors during Inhibitory Control , 2017, Front. Psychol..

[60]  C. Keysers,et al.  The Observation and Execution of Actions Share Motor and Somatosensory Voxels in all Tested Subjects: Single-Subject Analyses of Unsmoothed fMRI Data , 2008, Cerebral cortex.

[61]  Peter J. Koopmans,et al.  Improved sensitivity and specificity for resting state and task fMRI with multiband multi-echo EPI compared to multi-echo EPI at 7T , 2015, NeuroImage.

[62]  Bharat B. Biswal,et al.  Functional Integration Between Brain Regions at Rest Occurs in Multiple-Frequency Bands , 2015, Brain Connect..

[63]  Ryan O. Kellems,et al.  Functional MRI connectivity of children with autism and low verbal and cognitive performance , 2018, Molecular Autism.

[64]  Roland N. Boubela,et al.  The Spectral Diversity of Resting-State Fluctuations in the Human Brain , 2014, PloS one.

[65]  Karen Luyt,et al.  High frequency functional brain networks in neonates revealed by rapid acquisition resting state fMRI , 2015, Human brain mapping.

[66]  Essa Yacoub,et al.  The rapid development of high speed, resolution and precision in fMRI , 2012, NeuroImage.

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

[68]  Z. Vidnyánszky,et al.  Reducing task-based fMRI scanning time using simultaneous multislice echo planar imaging , 2018, Neuroradiology.

[69]  Steen Moeller,et al.  Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project , 2017, NeuroImage.

[70]  Steen Moeller,et al.  Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise , 2017, Front. Neurosci..

[71]  K. Uğurbil,et al.  Multiband accelerated spin‐echo echo planar imaging with reduced peak RF power using time‐shifted RF pulses , 2013, Magnetic resonance in medicine.

[72]  Andrew S. Nencka,et al.  Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity , 2017, PloS one.

[73]  H. Bridge,et al.  Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome , 2017, Developmental medicine and child neurology.

[74]  Klaus Scheffler,et al.  Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm , 2018, PloS one.

[75]  Aron K Barbey,et al.  Small sample sizes reduce the replicability of task-based fMRI studies , 2018, Communications Biology.

[76]  Peter J. Koopmans,et al.  Whole brain, high resolution spin-echo resting state fMRI using PINS multiplexing at 7T , 2012, NeuroImage.

[77]  Essa Yacoub,et al.  Using precise word timing information improves decoding accuracy in a multiband-accelerated multimodal reading experiment , 2016, Cognitive neuropsychology.

[78]  Klaudius Kalcher,et al.  Scanning fast and slow: current limitations of 3 Tesla functional MRI and future potential , 2014, Front. Physics.

[79]  R. Xue,et al.  High spatial resolution BOLD fMRI using simultaneous multislice excitation with echo-shifting gradient echo at 7 Tesla. , 2020, Magnetic resonance imaging.