Measuring functional connectivity during distinct stages of a cognitive task

By Jesse Rissman, Adam Gazzaley, Mark D'Esposito. NeuroImage, 2004

929 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/03b5f73674a7ce75bffc619b3a8fbfdcbf524d32

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In Cognitive Neuroscience

Citations in the corpus

Handbook of Functional MRI Data Analysis: Index (2011, methodology): “Figure 8.2 shows an example of the technique known as beta-series correlation (Rissman et al., 2004), in which the response to each event is estimated (or deconvolved) by fitting a model that includes a separate regressor for each trial.”
Assessing functional connectivity in the human brain by fMRI. (2007, background): “[57]), under the premise that two regions that exhibit similar changes from trial to trial in stimulus-related signal are acting as part of the same functional network.”
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, neutral): “, 2005) and event-related (Aizenstein et al., 2009; Fox et al., 2006; Rissman et al., 2004; Siegle et al., 2007) fMRI activation designs.”
THE COGNITIVE NEUROSCIENCE OF WORKING MEMORY (2007, methodology): “We developed a multivariate method designed specifically to characterize functional connectivity in event-related fMRI data that can measure interregional correlations during the individual stages of a cognitive task (Rissman et al. 2004).”
Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: related and independent features. (2007, background): “Similar research as used correlations of peak responses (Rissman et al 2004).”
Resting-state functional connectivity reflects structural connectivity in the default mode network. (2009, background): “Several groups have demonstrated that functional connectivity between regions with known or presumed structural connections can wax or wane depending on contextual variables such as awareness of learning (McIntosh et al. 2003) or task performance (Hampson et al. 2004; Rissman et al. 2004).”
Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, neutral): “event-specific regressors in a traditional GLM (Fornito et al., 2011a; Rissman et al., 2004).”
Schizophrenia, neuroimaging and connectomics (2012, methodology): “…functional interactions during performance of one specific task assessing cognitive control by using a beta series correlation approach (Rissman et al., 2004; Yoon et al., 2008) to generate measures of event-related functional connectivity for each task condition (Fornito et al.,…”
Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses (2011, methodology): “Likewise, in beta series correlation analyses (Rissman et al., 2004) the LS-S estimates would presumably work better due to the improvements in the trial-specific activation estimates.”
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, background): “Although most studies examining connectivity during motorrelated tasks focus on within-network organization (Biswal et al., 1995; Jiang et al., 2004; Rissman et al., 2004; Sun et al., 2004, 2007; Zhuang et al., 2005; Bardouille and Boe, 2012), many studies probing working memory focus on…”
Top-down modulation of visual feature processing: The role of the inferior frontal junction (2010, methodology): “Functional connectivity networkmapswere created for each subject as described previously using a beta series connectivity analysis approach (Gazzaley et al., 2004; Rissman et al., 2004).”
From cognitive to neural models of working memory (2007, methodology): “Recently, we developed a new multivariate method designed specifically to characterize functional connectivity in an event-related fMRI dataset and measure interregional correlations during the individual stages of a delay task (Rissman et al. 2004).”