Automated Author ProfileDzialecka Patrycja
Department of Brain Sciences, Imperial College London, London, UK and United Kingdom Dementia Research Institute, Imperial College London, London, UK
Dzialecka Patrycja
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Behav:
## Exp 1
- ./data/Behav/young_exp1/raw and data/Behav/young_exp1/randomization contain respectivelly the raw log files with key presses and the order of the stimulation conditions - To obtain the csv files in data/Behav/young_exp1/, run:
./Code/behav/young_exp1/main_young_MRI.ipynb --> Outputs: young_MRI/variables_per_block.csv and young_MRI/variables_per_block_bc.csv ## Exp 2 young
- ./data/Behav/young_exp2/raw and data/Behav/young_exp2/randomization contain respectivelly the txt files summarizing correct sequences and the order of the stimulation conditions - Run:
./Code/behav/young_exp2/main_young.ipynb --> To obtain young/number_of_seq.csv and young/number_of_seq_bc.csv ## Exp 2 young
- ./data/Behav/older_exp2/raw and data/Behav/older_exp2/randomization contain respectivelly the txt files summarizing correct sequences and the order of the stimulation conditions - Run:
./Code/behav/older_exp2/main_older.ipynb --> To obtain elderly/number_of_seq.csv and elderly/number_of_seq_bc.csv
MRI:
- ./data/MRI/sourcedata contains raw mri data
(Anatomical images were defaced using pydeface 2.0.2) - ./data/MRI/randomization contains the order of the stimulation conditions for rsMRI (randomization_rs_unblinded.csv) and task-based MRI (randomization_task_unblinded.csv) ## rs-fMRI
- ./data/MRI/ica_selection contains information for the selection of the indipendent components
- ./data/MRI/rois/BNA_rois contains the BNA masks to use for the analysis - Run ./Code/MRI/SPM1_rsMRI.m ## task-based fMRI
- ./data/MRI/rois/manual_masks contains the manual masks to use for the analysis - Run: ./Code/MRI/SPM1_task.m
--> To obtain \contrasts - Run:
./Code/MRI/SPM2_task_individual_masks_BOLD.m
--> To obtain all_subj_mean_per_subj_manual_masks_stim_comp_long.csv and all_subj_mean_per_subj_manual_masks_with_subparts_stim_comp_long.csv
Authors
- Maximilian, Wessel J. ;
- Beanato Elena ;
- Popa Traian ;
- Windel Fabienne ;
- Vassiliadis Pierre ;
- Menoud Pauline ;
- Beliaeva Valeriia ;
- Ines, Violante R. ;
- Abderrahmane Hedjoudje ;
- Dzialecka Patrycja ;
- Park Chang-Hyun ;
- Maceira-Elvira Pablo ;
- Morishita Takuya ;
- Cassara M. Antonino ;
- Steiner Melanie ;
- Grossman Nir ;
- Neufeld Esra ;
- Hummel C. Friedhelm