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This illustrates the need to critically evaluate the various measures that are reported in the PET imaging literature.
We provide a review of the current structural imaging literature in HD and highlight inconsistencies between studies.
In PET imaging literature, several test-retest outcome metrics are commonly reported, but there has been no general consensus as to which outcome metrics should be used.
It also provides overviews of research findings in the imaging literature that are specifically relevant to the functional systems for reading, writing, and computing.
Relevant methodology from the imaging literature is reviewed; gaps in the literature are addressed using related concepts from the more extensive genomic and in vitro biomarker literature.
The brain imaging literature suggests that child disruptive behavior disorders (DBD) are associated with structural and functional abnormalities of the anterior cingulate cortex (ACC).
Similar(18)
These results complement the existing neuropsychological and brain-imaging literature by suggesting that within the extensive network of bilateral parietal regions active during both number and body-part processing, a subset shows category-specific responses independent of the language and modality of presentation.
Despite its excellent clot imaging, the literature shows mixed results in the usefulness of the PA obstruction index as a predictor of RVD and mortality.
Here, across three experiments, we describe and validate a processing pipeline designed to create an optimized, yet scalable probe geometry based on selected regions of interest (ROIs) from the functional magnetic resonance imaging (fMRI) literature.
Since rs16965628 has not been described in the imaging genetics literature, we consider our results in the context of closely associated 5HTTLPR [ 56].
This paper reviews the functional magnetic resonance imaging (fMRI) literature on brain function development of typically late developing functions of cognitive and motivation control, timing and attention as well as of resting state neural networks.
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