کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6023875 1188653 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ANIMA: A data-sharing initiative for neuroimaging meta-analyses
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
ANIMA: A data-sharing initiative for neuroimaging meta-analyses
چکیده انگلیسی


- ANIMA is a new open database for sharing results of meta-analytic fMRI studies.
- ANIMA provides an intuitive interface for uploading your own published results.
- The free Volume Viewer tool provides a platform for viewing and using ANIMA data.

Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many individual task-based functional neuroimaging experiments. These methods have been aided by the introduction of online databases such as Brainmap.org or Neurosynth.org, which collate peak activation coordinates obtained from thousands of published studies. Findings from meta-analytic studies typically include brain regions which are consistently activated across studies for specific contrasts, investigating cognitive or clinical hypotheses. These regions can be subsequently used as the basis for seed-based connectivity analysis, or formally compared to neuroimaging data in order to help interpret new findings. To facilitate such approaches, we have developed a new online repository of meta-analytic neuroimaging results, named the Archive of Neuroimaging Meta-analyses (ANIMA). The ANIMA platform consists of an intuitive online interface for querying, downloading, and contributing data from published meta-analytic studies. Additionally, to aid the process of organizing, visualizing, and working with these data, we present an open-source desktop application called Volume Viewer. Volume Viewer allows users to easily arrange imaging data into composite stacks, and save these sessions as individual files, which can also be uploaded to the ANIMA database. The application also allows users to perform basic functions, such as computing conjunctions between images, or extracting regions-of-interest or peak coordinates for further analysis. The introduction of this new resource will enhance the ability of researchers to both share their findings and incorporate existing meta-analytic results into their own research.

141

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 124, Part B, 1 January 2016, Pages 1245-1253
نویسندگان
, , , , , , , , , , , , ,