From nodes to networks: How methods for defining nodes influence inferences regarding network interactions.

ABSTRACT: Functional connectivity (FC) analysis of fMRI data typically rests on prior identification of network nodes from activation profiles. We compared Activation Likelihood Estimate (ALE) and the Experimentally Derived Estimate (EDE) approaches to network node identification and functional inference for both verbal and visual forms of working memory. ALE arrives at canonical activation maxima that are assumed to reliably represent peaks of brain activity underlying a psychological process (e.g., working memory). By comparison, EDEs of activation maxima are typically derived from individual participant data, and are thus sensitive to individual participant activation profiles. Here, nodes were localized by both ALE and EDE methods for each participant, and subsequently extracted time series were

SUBMITTER: Falco D 

PROVIDER: S-EPMC6865526 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature