Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity

By Jessica S. Damoiseaux, Michael D. Greicius. Brain Structure and Function, 2009

910 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/6848010d1f338fd7cc81053c2ff69b1bbc317812

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, methodology): “tivity measured by MRI ([11–19]; [5] for review).”
The structural-functional connectome and the default mode network of the human brain (2014, neutral): “A limitation of region-to-region connectivity measurements, as applied in the studies above, is that regions of interestmust bemanually selected, possibly introducing selection bias (Damoiseaux and Greicius, 2009).”
Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009, methodology): “…with other measurements of the brain organization such as task-evoked activations (Toro et al., 2008; Smith et al., 2009), diffusion imaging (Damoiseaux and Greicius, 2009), maps of anatomical connectivity derived using retrograde tracers in macaques (Vincent et al., 2007; Margulies et al.,…”
A large-scale circuit mechanism for hierarchical dynamical processing in the primate cortex (2015, neutral): “…of an anatomical connection between areas partially predicts correlations in neurophysiological signals from those areas, but there are significant differences (Hagmann et al., 2008; Honey et al., 2009; Damoiseaux and Greicius, 2009; Honey et al., 2010; Deco and Corbetta, 2011; Deco et al., 2014).”
Development of functional and structural connectivity within the default mode network in young children (2010, background): “Other studies have reported that resting-state functional connectivity observed in the human brain reflect underlying anatomical structure (Damoiseaux and Greicius, 2009; Greicius et al., 2008; Hagmann et al., 2008; Honey et al., 2009; Margulies et al., 2009; Skudlarski et al., 2008; van den Heuvel ”
Linking Structure and Function in Macroscale Brain Networks. (2020, positive): “The persistent and reproducible nature of brain activity during rest makes resting-state FC an ideal starting point to study structure–function relationships [26,27].”
Effects of aging on functional and structural brain connectivity☆ (2017, background): “However, strong functional connectivity between brain regions can exist in the absence of strong structural connectivity (Damoiseaux and Greicius, 2009; Zimmermann et al., 2016), possibly because of indirect structural connections.”
Networks of anatomical covariance (2013, background): “This observed anti-correlation among structural metrics has also been observed among functional systems where the attentional network and default mode network (DMN, Damoiseaux and Greicius, 2009; Greicius et al., 2003, 2004) operate in opposition (He et al., 2009a, 2009b).”
Predicting brain-age from multimodal imaging data captures cognitive impairment (2016, positive): “This is important as function and structure convey converging as well as diverging information (Damoiseaux & Greicius, 2009).”
Origins of task-specific sensory-independent organization in the visual and auditory brain: neuroscience evidence, open questions and clinical implications. (2015, neutral): “, without an explicit task) reflect functionally relevant correlations in neuronal firing [17,18].”
Is the ADHD brain wired differently? A review on structural and functional connectivity in attention deficit hyperactivity disorder (2010, background): “Recently, Damoiseaux and Greicius [2009] reviewed eight articles that directly compare resting-state functional connectivity with structural connectivity and three clinical case studies of patients with limited white matter connections between the cerebral hemispheres.”
Dynamic reconfiguration of human brain networks during learning (2010, background): “More pertinent to this paper, recent evidence suggests that modular organization over several spatial scales, or hierarchical modularity, also characterizes the large-scale anatomical connectivity of the human brain (27, 28), as well as the spontaneous fluctuations (35, 36) thought to stem from anat”
Health, USA Reviewed by: (2010, neutral): “Interestingly, disease-specific changes in RSN functional connectivity can occur in the absence of known direct structural connectivity (Damoiseaux and Greicius, 2009; Honey et al., 2009).”