Supplementary methods and results for ” Decoding the large - scale structure of brain function by classifying mental states across individuals ”
نویسندگان
چکیده
Imaging was performed using a 3T Siemens AG (Erlangen, Germany) Allegra MRI scanner at the UCLA Ahmanson-Lovelace Brain Mapping Center. For all subjects, whole-brain functional imaging was performed using a T2*-weighted echoplanar imaging (EPI) sequence with common parameters [repetition time (TR), 2 s; echo time (TE), 30 ms; flip angle, 90; matrix, 64 x 64; field of view (FOV), 200 mm; slice thickness, 4 mm; interleaved acquisition]. The only acquisition parameters that varied between subjects were the interslice interval, which was either 1mm or 0mm across different studies, and number of slices, which varied from 25 to 34 slices across studies. In addition to the functional images, a T2-weighted matched-bandwidth high-resolution anatomical scan (same slice prescription as EPI) and magnetization-prepared rapid-acquisition gradient echo (MPRAGE) were acquired for each subject for registration purposes.
منابع مشابه
Decoding the large-scale structure of brain function by classifying mental States across individuals.
Brain-imaging research has largely focused on localizing patterns of activity related to specific mental processes, but recent work has shown that mental states can be identified from neuroimaging data using statistical classifiers. We investigated whether this approach could be extended to predict the mental state of an individual using a statistical classifier trained on other individuals, an...
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