Effort_Less Processed fMRI
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Dataset Description This dataset consists of preprocessed functional MRI (fMRI) data collected as part of the research study titled "Trait-like neural signatures of physical effort perception dissociated from motor execution in humans." The study investigates how individual differences in the perception of physical effort are represented in the brain, independently of motor output. Diego Lombardo led the preprocessing and analysis of the fMRI data and was primarily responsible for the conceptual design of the analytical framework. He also played a central role in preparing and writing the manuscript associated with this dataset. The initial analyses were guided by the very rich set of hypotheses outlined in the ANR-funded EffortLESS project (ANR-23-CE37-0014), led by Florian Monjo. These hypotheses were later refined and reformulated by Dr Lombardo in light of the emerging data. Data acquisition was conducted at IRMGe, with the technical support and expertise of the research engineering team, whose contributions were essential to the success of the imaging protocol. The data is provided in .mat format to support reuse and facilitate analysis. All fMRI data were preprocessed using FSL, including ICA-based denoising, following the protocol described in Griffanti et al. (2016). Spatial normalization was performed by first registering functional data to each subject’s T1-weighted anatomical image and then transforming to MNI-152 standard space. Preprocessing Pipeline: Motion correction Spatial smoothing Co-registration to individual T1-weighted anatomy Normalization to MNI-152 standard space ICA-based denoising using manual component classification Data Summary: Subjects included: 44 Missing data: Subjects 1, 9, and 35 are not included. Subject 28 is flagged as an intensity outlier. Tasks included: Task 1: Control task Task 2: Ischemia condition (INB) Volumes per task scan: 184 Resting-state fMRI: Not included due to storage limitations ROI Extraction: Time series were extracted using the Harvard-Oxford cortical atlas (file: HarvardOxford-cort-maxprob-thr25-1mm.nii.gz), comprising 48 cortical brain regions. ROI time series were co-registered to MNI space for each subject. Signals from left and right hemispheres were averaged, as the study did not test lateralization effects. Each subject’s data is saved in a .mat file containing a 48 (ROIs) × 184 (time points) matrix representing the BOLD signal. The raw denoised fMRI time series and subject-specific atlas templates coregistered to each participant’s T1 image are stored in a private folder: https://sfri-sante.netexplorer.pro/docs/696. Due to Zenodo’s storage limitations, these files are not hosted there but can be shared upon request. File naming convention:ROIs_sub_xx_taskn.mat xx = subject ID (1 to 43) n = task number (1 = Control, 2 = INB) All subject files are stored in the “ROI_Task1Vs2” directory. Included Files: matfiles_fMRI_Effort_Less.zip: Contains all final .mat files (max 5 GB due to storage constraints) Disregard remaining .mat scripts not essential in this folder the final version are in the GitHub bellow Code and Reproducibility:All analysis scripts needed to reproduce the main results and figures are available on GitHub:https://github.com/diegomlombardo Here is a list of Harvard‑Oxford cortical Atlas labels: ROI # Region Name 1 Frontal Pole 2 Insular Cortex 3 Superior Frontal Gyrus 4 Middle Frontal Gyrus 5 Inferior Frontal Gyrus, Pars Triangularis 6 Inferior Frontal Gyrus, Pars Opercularis 7 Precentral Gyrus 8 Temporal Pole 9 Superior Temporal Gyrus, Anterior Division 10 Superior Temporal Gyrus, Posterior Division 11 Middle Temporal Gyrus, Anterior Division 12 Middle Temporal Gyrus, Posterior Division 13 Middle Temporal Gyrus, Temporooccipital Part 14 Inferior Temporal Gyrus, Anterior Division 15 Inferior Temporal Gyrus, Posterior Division 16 Inferior Temporal Gyrus, Temporooccipital Part 17 Postcentral Gyrus 18 Superior Parietal Lobule 19 Supramarginal Gyrus, Anterior Division 20 Supramarginal Gyrus, Posterior Division 21 Angular Gyrus 22 Lateral Occipital Cortex, Superior Division 23 Lateral Occipital Cortex, Inferior Division 24 Intracalcarine Cortex 25 Frontal Medial Cortex 26 Juxtapositional Lobule Cortex 27 Subcallosal Cortex 28 Paracingulate Gyrus 29 Cingulate Gyrus, Anterior Division 30 Cingulate Gyrus, Posterior Division 31 Precuneous Cortex 32 Cuneal Cortex 33 Frontal Orbital Cortex 34 Parahippocampal Gyrus, Anterior Division 35 Parahippocampal Gyrus, Posterior Division 36 Lingual Gyrus 37 Temporal Fusiform Cortex, Anterior Division 38 Temporal Fusiform Cortex, Posterior Division 39 Temporal Occipital Fusiform Cortex 40 Occipital Fusiform Gyrus 41 Frontal Operculum Cortex 42 Central Opercular Cortex 43 Parietal Operculum Cortex 44 Planum Polare 45 Heschl’s Gyrus 46 Planum Temporale 47 Supracalcarine Cortex 48 Occipital Pole Reference:Griffanti L, Douaud G, Bijsterbosch J, Evangelisti S, Alfaro-Almagro F, Glasser MF, Duff EP, Fitzgibbon S, Westphal R, Carone D, Beckmann CF, Smith SM. Hand classification of fMRI ICA noise components. NeuroImage. 2017 Jul 1;154:188–205. https://doi.org/10.1016/j.neuroimage.2016.12.036



