Networks of task co-activations

Neuroimage. 2013 Oct 15;80:505-14. doi: 10.1016/j.neuroimage.2013.04.073. Epub 2013 Apr 28.

Abstract

Recent progress in neuroimaging informatics and meta-analytic techniques has enabled a novel domain of human brain connectomics research that focuses on task-dependent co-activation patterns across behavioral tasks and cognitive domains. Here, we review studies utilizing the BrainMap database to investigate data trends in the activation literature using methods such as meta-analytic connectivity modeling (MACM), connectivity-based parcellation (CPB), and independent component analysis (ICA). We give examples of how these methods are being applied to learn more about the functional connectivity of areas such as the amygdala, the default mode network, and visual area V5. Methods for analyzing the behavioral metadata corresponding to regions of interest and to their intrinsically connected networks are described as a tool for local functional decoding. We finally discuss the relation of observed co-activation connectivity results to resting state connectivity patterns, and provide implications for future work in this domain.

Keywords: BrainMap; Co-activations; Functional brain networks; Functional connectivity; Intrinsic connectivity networks; Meta-analysis; Neuroinformatics; Resting state networks; Task co-occurrence.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Animals
  • Brain / anatomy & histology
  • Brain / physiology*
  • Cognition / physiology*
  • Connectome / methods*
  • Humans
  • Meta-Analysis as Topic
  • Models, Anatomic
  • Models, Neurological*
  • Nerve Net / anatomy & histology
  • Nerve Net / physiology*
  • Task Performance and Analysis*