scholarly journals An orthogonal shim coil for 3T brain imaging

2019 ◽  
Vol 83 (4) ◽  
pp. 1499-1511 ◽  
Author(s):  
Jiazheng Zhou ◽  
Jason P. Stockmann ◽  
Nicolas Arango ◽  
Thomas Witzel ◽  
Klaus Scheffler ◽  
...  
Keyword(s):  
Brain Imaging ◽  
Shim Coil

Brain Imaging Could Predict Aphasia Post-Stroke

ASHA Leader ◽  
2016 ◽  
Vol 21 (10) ◽  
pp. 14-14
Keyword(s):  
Brain Imaging ◽  
Post Stroke

Brain Imaging

2019 ◽  
Keyword(s):  
Brain Imaging

The Latin Square Task as a Measure of Relational Reasoning

2020 ◽  
Vol 36 (2) ◽  
pp. 296-302 ◽  
Author(s):  
Luke J. Hearne ◽  
Damian P. Birney ◽  
Luca Cocchi ◽  
Jason B. Mattingley
Keyword(s):  
Brain Imaging ◽  
Response Times ◽  
Latin Square ◽  
Error Rates ◽  
Functional Brain Imaging ◽  
Inspection Time ◽  
Relational Reasoning ◽  
Validity And Reliability ◽  
The Stability ◽  
Test Retest Reliability

Abstract. The Latin Square Task (LST) is a relational reasoning paradigm developed by Birney, Halford, and Andrews (2006) . Previous work has shown that the LST elicits typical reasoning complexity effects, such that increases in complexity are associated with decrements in task accuracy and increases in response times. Here we modified the LST for use in functional brain imaging experiments, in which presentation durations must be strictly controlled, and assessed its validity and reliability. Modifications included presenting the components within each trial serially, such that the reasoning and response periods were separated. In addition, the inspection time for each LST problem was constrained to five seconds. We replicated previous findings of higher error rates and slower response times with increasing relational complexity and observed relatively large effect sizes (η2p > 0.70, r > .50). Moreover, measures of internal consistency and test-retest reliability confirmed the stability of the LST within and across separate testing sessions. Interestingly, we found that limiting the inspection time for individual problems in the LST had little effect on accuracy relative to the unconstrained times used in previous work, a finding that is important for future brain imaging experiments aimed at investigating the neural correlates of relational reasoning.

Science Directorate: Brain imaging raises, answers questions

1994 ◽  
Author(s):  
Beth Azar
Keyword(s):  
Brain Imaging

Parallel supercomputing in cognitive brain imaging and other massive 3-D dataspaces

2000 ◽  
Author(s):  
Marcel A. Just ◽  
Keyword(s):  
Brain Imaging
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