Brain spontaneous functional connectivity and intelligence

By Ming Song, Yuan Zhou, Jun Yu Li, Yong Liu, Lixia Tian, Chunshui Yu, T. Jiang. NeuroImage, 2008

325 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/108d859b4850e14aed414a700fe80d3f71674028

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In Cognitive Neuroscience

Citations in the corpus

The Neuroscience of Intelligence (2016, methodology): “This kind of connectivity analysis was applied to fMRI data in 59 individuals who also had completed the WAIS IQ test (Song et al., 2008).”
Function in the Human Connectome: Task-fMRI and Individual Differences in Behavior (2013, background): “033 disorders, and there is increasing evidence that this variability is associated with alterations in cognitive and behavioral variables that constrain real world function (Bassett et al., 2009; Song et al., 2008; van den Heuvel et al., 2009).”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, background): “Further, while between-subject variation is to be expected given its reported correlation with a variety of individual measures (IQ, personality, etc.; Adelstein et al., 2011; Song et al., 2008; van den Heuvel et al., 2009; Wei et al., 2011), within-subject FC has also been shown to vary considerabl”
Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence (2017, background): “…personality traits (e.g., Adelstein et al., 2011; Beaty et al., 2015; Kim, Gee, Loucks, Davis, & Whalen, 2011) as well as cognitive functions (e.g., Song et al., 2008, 2009; van den Heuvel et al., 2009; Cole, Yarkoni, Repovs, Anticevic, & Braver, 2012; Langer et al., 2012; Xu et al., 2013; Markett…”
The neuroscience of human intelligence differences (2010, unknown): “This is consistent with another fMRI study which reported significant correlations between IQ and the resting-state functional connectivity of an ‘exploratory’ network involving the frontal and the parietal, occipital and limbic lobes 86 .”
Efficiency of Functional Brain Networks and Intellectual Performance (2009, background): “, 2009), and the functional dynamics of specific high cognitive brain regions (Duncan et al., 2000; Gray et al., 2003; Choi et al., 2008; Song et al., 2008).”
Brain Anatomical Network and Intelligence (2009, background): “This gives increased credence to our current study by supporting a network view of intelligence from functional imaging evidences, thus revealing that brain activity may be relevant to differences in intelligence even in the resting state [6].”
Process Overlap Theory: A Unified Account of the General Factor of Intelligence (2016, background): “Moreover, several studies have demonstrated that variation in the global connectivity of these regions correlates with intelligence as well as cognitive control (Cole & Yarkoni, 2012; Heuvel & Stam, 2009; Santarnecchi & Galli, 2014; Song et al., 2008).”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, methodology): “…proposed, including seed methods (Andrews-Hanna et al., 2007; Biswal et al., 1995; Cordes et al., 2000; Fransson, 2005; Larson-Prior et al., 2009; Song et al., 2008), principal component analysis (PCA) (Friston et al., 1993), singular value decomposition (Worsley et al., 2005), independent…”
Global connectivity of prefrontal cortex predicts cognitive control and intelligence (2012, background): “, 2009b), regionspecific activity contributions to intelligence (Duncan, 2000), or connection-specific contributions to intelligence (Song et al., 2008).”