Comparison of SMS-EPI and 3D-EPI at 7T in an fMRI localizer study with matched spatiotemporal resolution and homogenized excitation profiles

Autoři: Caroline Le Ster aff001;  Antonio Moreno aff002;  Franck Mauconduit aff001;  Vincent Gras aff001;  Ruediger Stirnberg aff003;  Benedikt A. Poser aff004;  Alexandre Vignaud aff001;  Evelyn Eger aff002;  Stanislas Dehaene aff002;  Florent Meyniel aff002;  Nicolas Boulant aff001
Působiště autorů: NeuroSpin, CEA, Université Paris-Saclay, Gif-Sur-Yvette, France aff001;  NeuroSpin, CEA, Université Paris-Saclay, INSERM, Gif-Sur-Yvette, France aff002;  German center for neurodegenerative diseases (DZNE), Bonn, Germany aff003;  Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands aff004;  Collège de France, Paris, France aff005
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225286


The simultaneous multi-slice EPI (SMS-EPI, a.k.a. MB-EPI) sequence has met immense popularity recently in functional neuroimaging. A still less common alternative is the use of 3D-EPI, which offers similar acceleration capabilities. The aim of this work was to compare the SMS-EPI and the 3D-EPI sequences in terms of sampling strategies for the detection of task-evoked activations at 7T using detection theory. To this end, the spatial and temporal resolutions of the sequences were matched (1.6 mm isotropic resolution, TR = 1200 ms) and their excitation profiles were homogenized by means of calibration-free parallel-transmission (Universal Pulses). We used a fast-event “localizer” paradigm of 5:20 min in order to probe sensorimotor functions (visual, auditory and motor tasks) as well as higher level functions (language comprehension, mental calculation), where results from a previous large-scale study at 3T (N = 81) served as ground-truth reference for the brain areas implicated in each cognitive function. In the current study, ten subjects were scanned while their activation maps were generated for each cognitive function with the GLM analysis. The SMS-EPI and 3D-EPI sequences were compared in terms of raw tSNR, t-score testing for the mean signal, activation strength and accuracy of the robust sensorimotor functions. To this end, the sensitivity and specificity of these contrasts were computed by comparing their activation maps to the reference brain areas obtained in the 3T study. Estimated flip angle distributions in the brain reported a normalized root mean square deviation from the target value below 10% for both sequences. The analysis of the t-score testing for the mean signal revealed temporal noise correlations, suggesting the use of this metric instead of the traditional tSNR for testing fMRI sequences. The SMS-EPI and 3D-EPI thereby yielded similar performance from a detection theory perspective.

Klíčová slova:

Acoustic signals – Central nervous system – Fats – Functional magnetic resonance imaging – Language – Neuroimaging – Sensory physiology – Sequence databases


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2019 Číslo 11