Automated image mining in fmri reports: A meta-research study

N. Gonçalves*, G. Vranou, R. Vigário

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

This chapter describes a method for meta-research, based on image mining from neuroscientific publications. It extends earlier investigation to the study of a large scale data set. Using a framework for extraction and characterisation of reported fMRI images, based on their coordinates and colour profiles, we propose that significant information can be harvested automatically. The coordinates of the brain activity regions, in relation to a standard reference templates are estimated. We focus on the analysis of scientific reports of the default mode network. Both the commonalities and the differences of brain activity between control, Alzheimer and schizophrenic patients are identified.

Original languageEnglish
Title of host publicationDevelopments in Medical Image Processing and Computational Vision
PublisherSpringer International Publishing
Pages73-88
Number of pages16
Volume19
ISBN (Electronic)978-3-319-13407-9
ISBN (Print)978-3-319-13406-2
DOIs
Publication statusPublished - 2015
MoE publication typeA3 Part of a book or another research book

Publication series

NameLecture Notes in Computational Vision and Biomechanics
PublisherSpringer International Publishing
ISSN (Print)2212-9391

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