Research data supporting "Functional interactions between sensory and memory networks for adaptive behaviour"
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Karlaftis, V., Giorgio, J., Zamboni, E., Frangou, P., Rideaux, R., Ziminski, J., & Kourtzi, Z. (2021). Research data supporting "Functional interactions between sensory and memory networks for adaptive behaviour" [Dataset]. https://doi.org/10.17863/CAM.70738
1. Behavioral data: Participants took part in a tilt aftereffect paradigm to test for perceptual adaptation. Participants were tested on two conditions: (a) adaptation: repeated presentation of the same gratings; (b) non-adaptation: presentation of varying gratings. We computed a perceptual adaptation index as the difference between the estimated mean parameter of the fitting functions for the adaptation and non-adaptation conditions. This measure was used for statistical analysis. Further, participants were tested in a visual short-term memory task. Memory score from this task was used for statistical analysis. 2. MRS data: MRS data were collected from two voxels on a 3T scanner: EV and PMN. MRS data were analysed with the LC-Model to quantify metabolite concentrations: GABA+, Glutamate, Glutamine and NAA. GABA+ concentration referenced to NAA was used for statistical analysis. GABA+/water, Glu/NAA and MRS quality indices were used for control analyses. 3. fMRI data: fMRI data were collected during perceptual adaptation (i.e. adaptation and non-adaptation conditions). The main study was conducted at a 3T scanner (2mm isotropic resolution), wheareas the replication study at a 7T scanner (0.8mm isotropic resolution). Data were pre-processed following the Human Connectome Project pipeline for multi-band data: motion correction, EPI-to-EPI coregistration, EPI-to-T1 coregistration, MNI normalisation, spatial smoothing, ICA denoising. fMRI data were then analysed to test for (a) BOLD differences between conditions, and (b) functional connectivity differences between conditions. Lastly, we also tested correlations of the above measures with behaviour and GABA+. 4. Whole brain clusters: The zip folder contains the t-maps of the significant clusters from all analyses tested (see point 3 above). The t-maps are in MNI space, are provided in .nii format (i.e. Nifti) and are named based on the corresponding Supplementary Table (Tables S3-S14). For more information, please see the Karlaftis_CC21_data_description.doc file.
Matlab 2017b, SPM 12.3 (https://www.fil.ion.ucl.ac.uk/spm/), GIFT v3.0b (http://mialab.mrn.org/software/gift/)
Adaptation, fMRI, functional connectivity, BOLD, MRS, GABAergic inhibition, repetition suppression
Publication Reference: https://doi.org/10.1093/cercor/bhab160https://www.repository.cam.ac.uk/handle/1810/322767
This record's DOI: https://doi.org/10.17863/CAM.70738