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      Brainmap taxonomy of experimental design: Description and evaluation

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          Abstract

          Coordinate‐based, voxel‐wise meta‐analysis is an exciting recent addition to the human functional brain mapping literature. In view of the critical importance of selection criteria for any valid meta‐analysis, a taxonomy of experimental design should be an important tool for aiding in the design of rigorous meta‐analyses. The coding scheme of experimental designs developed for and implemented within the BrainMap database provides a candidate taxonomy. In this study, the BrainMap experimental‐design taxonomy is described and evaluated by comparing taxonomy fields to data‐filtering choices made by subject‐matter experts carrying out meta‐analyses of the functional imaging literature. Fifteen publications reporting a total of 46 voxel‐wise meta‐analyses were included in this assessment. Collectively these 46 meta‐analyses pooled data from 351 publications, selected for experimental similarity within each meta‐analysis. Filter implementations within BrainMap were graded by ease‐of‐use (A–C) and by stage‐of‐use (1–3). Quality filters and content filters were tabulated separately. Quality filters required for data entry into BrainMap were classed as mandatory (five filters), being above the use grading system. All authors spontaneously adopted the five mandatory filters in constructing their meta‐analysis, indicating excellent agreement on data quality among authors and between authors and the BrainMap development team. Two non‐mandatory quality filters (group size and imaging modality) were applied by all authors; both were Stage 1, Grade A filters. Field‐of‐view filters were the least‐accessible quality filters (Stage 3, Grade C); two field‐of‐view filters were applied by six and four authors, respectively. Authors made a total of 115 content‐filter choices. Of these, 78 (68%) were Stage 1, Grade A filters; 16 (14%) were Stage 2, Grade A; and 21 (18%) were Stage 2, Grade C. No author‐applied filter was absent from the taxonomy. Hum Brain Mapp 25:185–198, 2005. © 2005 Wiley‐Liss, Inc.

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          Author and article information

          Contributors
          fox@uthscsa.edu
          Journal
          Hum Brain Mapp
          Hum Brain Mapp
          10.1002/(ISSN)1097-0193
          HBM
          Human Brain Mapping
          Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
          1065-9471
          1097-0193
          21 April 2005
          May 2005
          : 25
          : 1 , Meta‐Analysis of Functional Brain Mapping ( doiID: 10.1002/hbm.v25:1 )
          : 185-198
          Affiliations
          [ 1 ]Research Imaging Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas
          Author notes
          [*] [* ]University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, TX 78284
          Article
          PMC6871758 PMC6871758 6871758 HBM20141
          10.1002/hbm.20141
          6871758
          15846810
          43b04e4b-475e-4e79-b37a-c58d315372aa
          Copyright © 2005 Wiley‐Liss, Inc.
          History
          : 08 February 2005
          : 09 February 2005
          Page count
          Figures: 2, Tables: 6, References: 29, Pages: 14, Words: 9286
          Funding
          Funded by: NIH
          Award ID: RO1 LM06858‐02
          Award ID: RO1 MH067163
          Award ID: T35 NS051166
          Funded by: University of Texas Health Science Center at San Antonio
          Categories
          Research Article
          Research Articles
          Custom metadata
          2.0
          May 2005
          Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:15.11.2019

          CVM,neuroinformatics,ALE,database,taxonomy,PET,fMRI,brain mapping,meta‐analysis

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