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The Functional Architecture of the Visual System: Investigating Modular vs. Distributed Models through Lesion-Symptom Mapping\

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\f0\b \cf2 \kerning1\expnd0\expndtw0 Authors:\

\f1\b0 Sobolewska, A.M., Lugtmeijer, S., de Haan, E. H. F., & Scholte, H.S.\
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\f0\b \kerning1\expnd0\expndtw0 Overview\

\f1\b0 This repository contains the data and scripts necessary to perform atlas-based lesion-symptom mapping and disconnectome analyses using NiiStat (available at {\field{\*\fldinst{HYPERLINK "https://github.com/neurolabusc/NiiStat"}}{\fldrslt NiiStat GitHub}}) and BCBToolkit (available at {\field{\*\fldinst{HYPERLINK "https://storage.googleapis.com/bcblabweb/index.html"}}{\fldrslt BCBToolkit website}}). The analyses focus on 8 visual features and 2 visual field impairments across 200 patients. Please follow the installation instructions on the respective websites to set up the tools.\expnd0\expndtw0\kerning0
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\f0\b \cf2 Contents\
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\'97 \'91ALL LESION FILES\'92: contains zipped lesion files of all 200 patients included across all 10 subgroups\'92, .csv files for each subgroup with lesion volume in voxels and cm3 (lesion_volumes_all_subgroups\'92); FSL was used to obtain the lesion volumes, a zipped folder with lesion files of patients impaired on each visual feature task along with lesion overlap maps per feature. \
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\'97 \'91COLOUR\'92/\'91CONTRAST\'92/\'91GLOSS\'92/\'91LOCATION\'92/\'91MOTION\'92/\'91ORIENTATION\'92/\'92SHAPE\'92/\'91TEXTURE\'92/\'91VISFIELD_LEFT\'92/\'91VISFIELD_RIGHT\'92: each folder includes participants' lesion files in .nii (\'91IMAGEDIR_\'92) and .mat format and the corresponding behavioural data as required by NiiStat. Behavioural data is available in binary and continuous format for the visual features and binary only for the visual field impairments. Age, education, interval, scanner type are regressed out from the behavioural scores. \
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\'97 \'91final_behaviuoral_data.xlsx\'92: behavioural data of all 200 patients included in the analyses, i.e. visual features and visual field deficits tasks scores, number or visual features impairments per participant, 4 regressors used in the analyses.\
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\'97 \'91nii_nii2mat.m\'92: the script that is part of the NiiStat toolbox and that was used to transform the lesion files from .nii to .mat format.\
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\'97 \'91NiiStat_linda2.m\'92: the script we used to regress lesion volume on both the behavioural scores and ROI-based lesion data. To use this script in NiiStat analyses you need to replace the \'91NiiStat.mat\'92 script in the downloaded \'91NiiStat\'92 folder with the \'91NiiStat_linda2.m\'92 and rename it (\'91NiiStat_linda2.m\'92 script) to \'92NiiStat.m\'92.\
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\'97 \'91Glasser atlas\'92: refers to Glasser et al. (2016) atlas that we used to delineate grey matter ROIs. To use this atlas in NiiStat analyses you need to add the .nii and .txt files to the \'91roi\'92 subfolder in the downloaded \'91NiiStat\'92 folder.\
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\'97 \'91NiiStat output\'92 folder: contains zipped folders with the NiiStat results for all analyses (LSM and Disconnectome LSM analyses) \
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- \'91Example disconnectome\'92: contains a folder with significant NiiStat disconnectome results, .sh script and instruction on how to run the disconnectome analysis\
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\f0\b \cf2 Contact information\
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\f1\b0 \cf2 \kerning1\expnd0\expndtw0 For questions or further information, please contact Aleksandra Sobolewska (alek.sobolewska@gmail.com) or Selma Lugtmeijer (selmalugtmeijer89@hotmail.com)\
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Last update: 30/08/2024}