5 Hits in 2.5 sec

Whole-brain high in-plane resolution fMRI using accelerated EPIK for enhanced characterisation of functional areas at 3T

Seong Dae Yun, N. Jon Shah, Nick Todd
2017 PLoS ONE  
The undersampling strategy of both methods leads to an image SNR reduction by a factor of the square-root of the applied acceleration factor; in case of parallel MRI, the SNR is further reduced by the  ...  OPEN ACCESS Citation: Yun SD, Shah NJ (2017) Whole-brain high in-plane resolution fMRI using accelerated EPIK for enhanced characterisation of functional areas at 3T.  ...  Jon Shah was funded in part internally and also in part externally by the Helmholtz Alliance ICEMED (HA -314)-Imaging and Curing Environmental Metabolic Diseases, through the Initiative and Network Fund  ... 
doi:10.1371/journal.pone.0184759 pmid:28945780 pmcid:PMC5612468 fatcat:lyosgxkpxzbnjfjhoafgd56aga

Evaluating the Utility of EPIK in a Finger Tapping fMRI Experiment using BOLD Detection and Effective Connectivity

Seong Dae Yun, Ralph Weidner, Peter H. Weiss, N. Jon Shah
2019 Scientific Reports  
Previously, EPIK was shown to provide a higher temporal resolution and fewer image distortions than EPI whilst maintaining comparable performance for the detection of BOLD-based signals.  ...  This work carefully examines the putative enhanced sensitivity of EPIK in a typical fMRI setting by using a robust fMRI paradigm - visually guided finger tapping - to demonstrate the advantages of EPIK  ...  The use of acceleration techniques (e.g. parallel imaging, partial Fourier or multi-band techniques) in EPIK is as straightforward as in EPI 6, 7, 28 .  ... 
doi:10.1038/s41598-019-47341-y pmid:31358817 pmcid:PMC6662889 fatcat:ee6a3njltbc6tnrek5enxt7kbe

Mapping of Whole-Brain Resting-State Networks with Half-Millimetre Resolution [article]

Seong Dae Yun, Patricia Pais-Roldán, Nicola Palomero-Gallagher, N. Jon Shah
2021 bioRxiv   pre-print
Resting-state fMRI has been used in numerous studies to map networks in the brain that employ spatially disparate regions.  ...  TR-external EPIK enabled the identification of various resting-state networks distributed throughout the brain from a single fMRI session, with mapping fidelity onto the grey matter at 7T.  ...  In addition to the higher spatial resolution, the use of relatively small acceleration factors for parallel imaging and multi-band (which was not certified by peer review) is the author/funder.  ... 
doi:10.1101/2021.03.09.434629 fatcat:wptophmtdncv5fsbeks7blisdi

Cortical depth-dependent human fMRI of resting-state networks using EPIK [article]

Patricia Pais-Roldan, Seong Dae Yun, Nicola Palomero-Gallagher, Jon N Shah
2020 bioRxiv   pre-print
Recent laminar-fMRI studies have provided substantial understanding of the evoked cortical responses in multiple sub-systems; in contrast, the laminar component of resting-state networks remains largely  ...  Whole-brain evaluation of laminar-fMRI encompasses unprecedented computational challenges; nonetheless, it enables a new dimension of the human cerebral cortex to be investigated from a global view, which  ...  , and the fMRI volunteers for their 634 excellent cooperation.  ... 
doi:10.1101/2020.12.07.414144 fatcat:rpglxr5lb5b7povddk7i7fxiay

Good practice in food-related neuroimaging

Paul A M Smeets, Alain Dagher, Todd A Hare, Stephanie Kullmann, Laura N van der Laan, Russell A Poldrack, Hubert Preissl, Dana Small, Eric Stice, Maria G Veldhuizen
2019 American Journal of Clinical Nutrition  
In this article, we present guidelines for good methodological practice in functional magnetic resonance imaging studies and flag specific limitations in the hope of helping researchers to make the most  ...  The use of neuroimaging tools, especially functional magnetic resonance imaging, in nutritional research has increased substantially over the past 2 decades.  ...  Acknowledgments None of the authors has a potential conflict of interest. All authors designed and wrote the paper. PAMS had primary responsibility for final content.  ... 
doi:10.1093/ajcn/nqy344 pmid:30834431 fatcat:dwa4pnprzvgjdocwzslzpgbi4u