A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data.
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| Title: | A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data. |
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| Authors: | Wang Z; School of Mathematical and Statistical Sciences, Clemson University, Clemson 29634, SC, USA., Rowe DB; Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee 53233, WI, USA., Li X; School of Mathematical and Statistical Sciences, Clemson University, Clemson 29634, SC, USA., Brown DA; School of Mathematical and Statistical Sciences, Clemson University, Clemson 29634, SC, USA. Electronic address: ab7@clemson.edu. |
| Source: | Magnetic resonance imaging [Magn Reson Imaging] 2024 Jun; Vol. 109, pp. 271-285. Date of Electronic Publication: 2024 Mar 26. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-5894 |
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| DOI: | 10.1016/j.mri.2024.03.029 |
