2012
DOI: 10.1016/j.neuroimage.2012.05.080
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Whole brain, high resolution spin-echo resting state fMRI using PINS multiplexing at 7T

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Cited by 57 publications
(53 citation statements)
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“…Additional components were identified after visual inspection. Names for each RSN were assigned by means of visual comparison to published data (22,(51)(52)(53)(54) …”
Section: Physiological Noise Characterizationmentioning
confidence: 99%
“…Additional components were identified after visual inspection. Names for each RSN were assigned by means of visual comparison to published data (22,(51)(52)(53)(54) …”
Section: Physiological Noise Characterizationmentioning
confidence: 99%
“…In a previous study (Koopmans et al, 2012) PINS pulses were employed in a SE EPI sequence both for excitation and refocusing. This excludes slice orientations having a gradient component along the z-axis (i.e.…”
Section: Acquisitionmentioning
confidence: 99%
“…Evidently, this poses problems for SE EPI at high field due to the high specific absorption rate (SAR) of the refocusing pulses. Recently, to overcome this SAR limitation problem, Power Independent Number of Slices (PINS) pulses (Norris et al, 2011) were introduced and have been used in a high resolution SE EPI resting state (RS) study at 7T (Koopmans et al, 2012) and for high spatial resolution DWI also at 7T (Eichner et al, 2013). Due to the periodic excitation profile of the PINS pulses, a sagittal acquisition scheme was adopted for the SE EPI RS study.…”
Section: Introductionmentioning
confidence: 99%
“…The simultaneous acquisition of multiple slices can greatly reduce total imaging acquisition time for whole brain applications with EPI, and particularly has the potential to improve whole brain ASL perfusion studies where high in-plane and through-plane resolution is desired, necessitating the use of a large number of thin imaging slices to achieve the desired coverage. MB-EPI has been successfully demonstrated in functional magnetic resonance imaging (fMRI) (Moeller et al, 2010) and resting state fMRI (Feinberg et al, 2010, Koopmans et al, 2012, Smith et al, 2012), showing improved detection of resting sate networks, as well as diffusion-weighted imaging (DWI) (Feinberg et al, 2010, Setsompop et al, 2012a) for dramatic reductions in imaging time. As such, MB-EPI has become an essential data acquisition strategy for both fMRI and DWI in the Human Connectome Project (Van Essen et al, 2012).…”
Section: Introductionmentioning
confidence: 99%