Quality Assurance for Clinical fMRI

The functional MRI (fMRI) procedure has several sources of variance that determine the success of the examination. These include the scanner, patient, and paradigm. As blood oxygenation level dependent (BOLD) contrast is a small effect, high signal‐to‐noise performance is mandatory. Because the preparation of a functional activation map requires averaging multiple images over time, the scanner must produce high temporal stability of the signal intensity. This unit presents the for achieving scanner stability. There are many determinants of such performance but not all possibilities need to be checked separately. An adequate approach has been to verify total system performance under the conditions of a functional MRI study on a phantom. This testing is done daily prior to patient studies.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145361/1/cpmia0602.pd

Brain activation modulated by sentence comprehension.

The comprehension of visually presented sentences produces brain activation that increases with the linguistic complexity of the sentence. The volume of neural tissue activated (number of voxels) during sentence comprehension was measured with echoplanar functional magnetic resonance imaging. The modulation of the volume of activation by sentence complexity was observed in a network of four areas: the classical left-hemisphere language areas (the left laterosuperior temporal cortex, or Wernicke's area, and the left inferior frontal gyrus, or Broca's area) and their homologous righthemisphere areas, although the right areas had much smaller volumes of activation than did the left areas. These findings generally indicate that the amount of neural activity that a given cognitive process engenders is dependent on the computational demand that the task imposes. This study examines what it means to be "thinking harder" in the course of sentence comprehension, in terms of functional magnetic resonance imaging (fMRI)-measured brain activation. One of the challenges of brain science is to relate the dynamics of higher level cognition to the equally dynamic activity of brain-level events. A possible meeting ground between these two levels is the modLulation in the amount of neuronal activity (at the brain level) in a given task, measured as a function of the amount of computational demand that the task places on cognitive resources (1). In particular, we examined whether sentences that were more computationally demanding also engender more brain activation (2, 3). At the cognitive level, sentence comprehension requires combining information from a sequence of words and phrases, computing their syntactic and thematic relations, and using world knowledge to construct a representation of the sentence meaning. These processes require the consumption of computational resources to perform the comprehension operations and also to maintain the representations of the component word meanings, propositions, and relational structures in an activated state during the processing (1). At the brain level, sentence comprehension entails activation in a network of cortical areas, most prominent of which are the left laterosuperior temporal cortex (Wernicke's area) (4) and the left inferio