Networks of task co-activations

Angela R. Laird, Simon B. Eickhoff, Claudia Rottschy, Danilo Bzdok, Kimberly L. Ray, Peter T. Fox

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)505-514
Number of pages10
JournalNeuroImage
Volume80
DOIs
StatePublished - Oct 15 2013

Keywords

  • BrainMap
  • Co-activations
  • Functional brain networks
  • Functional connectivity
  • Intrinsic connectivity networks
  • Meta-analysis
  • Neuroinformatics
  • Resting state networks
  • Task co-occurrence

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Networks of task co-activations'. Together they form a unique fingerprint.

Cite this