{"data":{"id":"10.6084/m9.figshare.2008209","type":"dois","attributes":{"doi":"10.6084/m9.figshare.2008209","prefix":"10.6084","suffix":"m9.figshare.2008209","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Melzer, Tracy","nameType":"Personal","givenName":"Tracy","familyName":"Melzer","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Supplementary data"}],"publisher":"figshare","container":{},"publicationYear":2015,"subjects":[{"subject":"110904 Neurology and Neuromuscular Diseases","subjectScheme":"FOR"},{"subject":"FOS: Clinical medicine","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Clinical medicine","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2015-12-10","dateType":"Created"},{"date":"2015-12-11","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["23211 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This spreadsheet holds the data used in the manuscript. The following list explains column names: (see ReadMe.doc for more information).\u003cb\u003esubject:\u003c/b\u003e Each subject has a unique letter identifier\u003cb\u003eAnonID\u003c/b\u003e: Anonymous ID\u003cb\u003eGroup:\u003c/b\u003e PD or Control\u003cb\u003eCategory:\u003c/b\u003e Cognitive category. PDN = PD with normal cognition, PD-MCI = PD with Mild Cognitive Impairment, PDD = PD with dementia, HC = healthy control.\u003cb\u003eCategory_HC-MCI:\u003c/b\u003e Cognitive category. However, this time 3 controls classified as MCI are identified (C-MCI). \u003cb\u003eConvert:\u003c/b\u003e The status of each individual at 1 year follow up. HC = healthy control, Stable = Did not develop dementia, Convert = Developed dementia at 1 year. \u003cb\u003eAge_at_scan_years:\u003c/b\u003e Age at assessment/scan\u003cb\u003eAge_base:\u003c/b\u003e Age as study entry\u003cb\u003etime_btw_scans_years:\u003c/b\u003e Time between scans measured in years.\u003cb\u003eFemale:\u003c/b\u003e 0 = male, 1 = female\u003cb\u003eEducation:\u003c/b\u003e years of education\u003cb\u003eFU_1year:\u003c/b\u003e 1\u003csup\u003est\u003c/sup\u003e or 2\u003csup\u003end\u003c/sup\u003e scan\u003cb\u003etime:\u003c/b\u003e assessment time, either baseline (study entry) or follow up (~ 1year).\u003cb\u003etime.y\u003c/b\u003e: time, in years, of follow up.\u003cb\u003eGM_order.diff.and.avg\u003c/b\u003e: Subject order of the 4D files associated with grey matter (swarate_GM_44.nii.gz, swavg_GM_44.nii.gz).\u003cb\u003eExclude.motion.T1:\u003c/b\u003e T1 images excluded due to motion at Y0 or Y1.\u003cb\u003eTBSS_order.diff.and.avg:\u003c/b\u003e Order of the 4D image files associated with DTI and TBSS.\u003cb\u003eASL_order.diff:\u003c/b\u003e Subject order of the 4D image file (sdiff_wecqCBF_43.nii.gz:).\u003cb\u003eASL_order_avg.part1\u003c/b\u003e: Subject order of the 4D image files (demeaned_swecqCBF_43_base_part1.nii.gz, savg_wecqCBF_43_part1.nii.gz).\u003cb\u003eASL_order_avg.part2\u003c/b\u003e: Subject order of the 4D image files (demeaned_swecqCBF_43_base_part2.nii.gz, savg_wecqCBF_43_part2.nii.gz).\u003cb\u003eSIENA:\u003c/b\u003e % brain change between scans. Values only at baseline (first timepoint).\u003cb\u003eDTI relative motion:\u003c/b\u003e average relative motion between adjacent diffusion volumes (see manuscript for details).\u003cb\u003emean FA/MD/L1/RD:\u003c/b\u003e mean FA /MD/L1/RD values along the white matter skeleton \u003cb\u003eCBF_gm:\u003c/b\u003e mean grey matter perfusion (ml/100g/min), including cortex and subcortical grey.\u003cb\u003ediff.FA.Y0-Y1 (same for MD/CBF):\u003c/b\u003e raw difference between mean FA at Y0 and Y1.\u003cb\u003eper.diff.FA.Y0-Y1 (same for MD/CBF):\u003c/b\u003e percent difference between mean FA at Y0 and Y1.\u003cb\u003eper.diff.year.FA.Y0-Y1 (same for MD/CBF):\u003c/b\u003e percent difference between mean FA at Y0 and Y1, divided by the time between Y0 and Y1.\u003cb\u003eMoCa: \u003c/b\u003eMontreal cognitive assessment—global cognitive screen.\u003cb\u003eUPDRS Part 3:\u003c/b\u003e Unified Parkinson’s disease rating scale, part 3, the motor score (only scores for PD participants).\u003cb\u003eLED:\u003c/b\u003e Levodopa equivalent dose.\u003cb\u003eAttention Total:\u003c/b\u003e average z score for tests in the domain of attention, working memory, and processing speed. \u003cb\u003eExecutive Function Total:\u003c/b\u003e average z score for tests in the domain of executive function.\u003cb\u003eVisuo-Total:\u003c/b\u003e average z score for tests in the domain of visuospatial/visuoperceptual function.\u003cb\u003eLanguage all Domains:\u003c/b\u003e average z score for tests in the domain of Language. \u003cb\u003eTotal all Domains:\u003c/b\u003e global cognitive score: average z score for the domain scores (attention, executive function, learning \u0026amp; memory, and visuospatial/perceptual)","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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