We use factor analysis of fMRI brain imaging data to reveal the biological representation of individual concrete nouns like apple, in the absence of any pictorial stimuli.
"We had a lot of brain imaging data for university students before the earthquake," he says.
DuBois Bowman, a professor of biostatistics at Columbia's Mailman School of Public Health, is creating new methods of analyzing brain imaging data to predict which patients will develop Parkinson's disease.
This pattern has also been found in multisensory neurons in the neocortex of animals [75], [76] and has been inferred in brain imaging [77], [78], although imaging data of multisensory areas have to be interpreted with great caution [79], [80].
Our findings are directly applicable to imaging data of fetal brains and ultimately enable early diagnostics of cortical malformations to improve treatment of neurodevelopmental disorders including epilepsy, autism, spectrum disorders, and schizophrenia.
The STAR (Schizophrenia Twins and Relatives) consortium was established to address these methodological problems, combining brain imaging data from most of the available twin samples with Sz.
Analysis of the brain imaging data revealed that regions of the medial temporal lobes were more active when the volunteers recalled objects than when they recognised them as familiar.
Brain imaging data suggest that use of active assistive forced exercise could improve Parkinsonian symptoms more effectively than passive assistive forced exercise.
No difference was found on other brain imaging data including the presence/absence of atrophy, periventricular lesions and ventricular widening.
Upon examination of the brain imaging data, nonimpaired age-matched controls displayed increased activation of the right precuneus region of the parietal lobe and the right anterior cingulate gyrus (regions associated with WM) with increasing task load.
