Dataset from "How does inattention affect written and spoken language processing?" Cohen et al., 2021, Cortex

Dataset from "How does inattention affect written and spoken language processing?" Cohen et al., 2021, Cortex The archive individual_data.zip contains, for each participant, 24 NIFTI images corresponding to the smoothed beta-maps of the 24 regressors from the 1st-level analysis, generated as described in the article. Those are the files that were entered in the second-level ANOVA. The files are named as follows: scon_XX_YYYY.ni XX: subject number YYYY: regressor number Regressor numbers correspond to experimental conditions as follows: regressors [1:12] % 1st half of stimuli % {'VSA','VLA','VCA','ASA','ALA','ACA','VSnA','VLnA','VCnA','ASnA','ALnA','ACnA'},...% regressors [95:106] % 2nd half of stimuli % {'VSA','VLA','VCA','ASA','ALA','ACA','VSnA','VLnA','VCnA','ASnA','ALnA','ACnA'},...% 1st letter: V = visual language A = auditory language 2nd letter: S = sentences L = lists C = control 3rd letter: A = attended language nA = unattended language