Affiliation: Massachusetts Institute of Technology
- Physiological noise and signal-to-noise ratio in fMRI with multi-channel array coilsChristina Triantafyllou
Athinoula A Martinos Imaging Center at McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Neuroimage 55:597-606. 2011..At higher acceleration factors, image SNR is reduced and the time-series becomes increasingly thermal noise dominant. However, the tSNR reduction is smaller than the reduction in image SNR due to the presence of physiological noise...
- Echo-time and field strength dependence of BOLD reactivity in veins and parenchyma using flow-normalized hypercapnic manipulationChristina Triantafyllou
A A Martinos Imaging Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
PLoS ONE 6:e24519. 2011..0±6.9 ms and 21.5±1.0 ms for 1.5T and 3T. These experiments showed that at 3T, the BOLD CNR in parenchymal voxels exceeded that of 1.5T by a factor of 1.9±0.4 at the optimal TE for each field...
- Locating the functional and anatomical boundaries of human primary visual cortexOliver Hinds
Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
Neuroimage 46:915-22. 2009..In addition, that the primary cortical folds predict the location of functional V1 suggests that the mechanism giving rise to V1 location is tied to the development of the cortical folds...
- Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of ageSatrajit S Ghosh
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
Neuroimage 53:85-93. 2010....
- Computing moment-to-moment BOLD activation for real-time neurofeedbackOliver Hinds
Brain and Cognitive Sciences, Massachusetts Institute of Technology, MA, USA
Neuroimage 54:361-8. 2011..Both synthetic and real data were used to validate this method and compare it to the only other published real-time fMRI method...
- Associations and dissociations between default and self-reference networks in the human brainSusan Whitfield-Gabrieli
Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, Harvard MIT Division of Health Sciences and Technology, and Poitras Center for Affective Disorders Research, Cambridge, MA 02139, USA
Neuroimage 55:225-32. 2011..These findings indicate that there are both associations (shared components) and dissociations between the neural systems underlying explicit self-reference and the default mode of brain function...
- Differential selectivity for dynamic versus static information in face-selective cortical regionsDavid Pitcher
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Neuroimage 56:2356-63. 2011....
- When the brain is prepared to learn: enhancing human learning using real-time fMRIJulie J Yoo
McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, MA, USA
Neuroimage 59:846-52. 2012..Further, the use of functional neuroimaging as a causal, rather than correlative, tool to study the human brain may open new insights into the neural basis of human cognition...
- Feedback of visual object information to foveal retinotopic cortexMark A Williams
McGovern Institute for Brain Research, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA
Nat Neurosci 11:1439-45. 2008..Instead, our findings indicate that position-invariant object information from higher cortical areas is fed back to foveal retinotopic cortex, enhancing task performance...