title: Networks of task co-activations.
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.
authors: Department of Physics, Florida International University, Miami, FL 33199, USA. alaird@fiu.edu
authors: Angela R
authors: AR
authors: Laird
authors: Simon B
authors: SB
authors: Eickhoff
authors: Claudia
authors: C
authors: Rottschy
authors: Danilo
authors: D
authors: Bzdok
authors: Kimberly L
authors: KL
authors: Ray
authors: Peter T
authors: PT
authors: Fox
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D063132:Connectome / Q000379:methods*; D006801:Humans; D015201:Meta-Analysis as Topic; D008953:Models, Anatomic; D008959:Models, Neurological; D009415:Nerve Net / Q000033:anatomy & histology / Q000502:physiology*; D013647:Task Performance and Analysis
keywords: BrainMap; Co-activations; Functional brain networks; Functional connectivity; Intrinsic connectivity networks; Meta-analysis; Neuroinformatics; Resting state networks; Task co-occurrence
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