Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain

By Martijn P. van den Heuvel, René C. W. Mandl, René S. Kahn, H. H. Hulshoff Pol. Human Brain Mapping, 2009

1,055 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b8b05e290dbb3232bd5aa07ee87500444d903995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Olaf Sporns
2. Xi-Nian Zuo
3. Yong He
4. Jinhui Wang
5. D. Bassett
6. Martijn P. van den Heuvel
7. Michael P. Milham
8. Morten L. Kringelbach

In Radiology, Nuclear Medicine and Imaging

1. Olaf Sporns
2. Xi-Nian Zuo
3. Yong He
4. Martijn P. van den Heuvel
5. Jinhui Wang
6. Gustavo Deco
7. Morten L. Kringelbach
8. Michael P. Milham

Citations in the corpus

• Graph-Based Network Analysis of Resting-State Functional MRI (2010, positive): “This implies that functionally linked resting brain networks likely reflect underlying structural connectivity (Greicius et al., 2009; van den Heuvel et al., 2009a; Teipel et al., 2010).”
• Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition (2010, positive): “Diffusion tensor imaging provides anatomical evidence that the RLPFC and aIPL are structurally interconnected via the superior parietal fasciculus (van den Heuvel et al., 2009).”
• The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (2016, neutral): “…many studies have used different MRI modalities to identify individual brain region or provide more comprehensive maps of the cerebral cortex (Tzourio-Mazoyer et al. 2002; Desikan et al. 2006; Cohen, Fair, et al. 2008; Cohen, Lombardo, et al. 2008; Eickhoff et al. 2011; Wang et al. 2012; Fan…”
• Investigating white matter fibre density and morphology using fixel-based analysis (2017, background): “…(Johansen-Berg, 2010), genetics (Meyer-Lindenberg, 2009), structural plasticity (Scholz et al., 2009), treatment response (Szeszko et al., 2014) and neuroscientific efforts to relate structural and functional connectivity (Calamante et al., 2013; Stephan et al., 2009; Van Den Heuvel et al., 2009).”
• Contributions and challenges for network models in cognitive neuroscience (2014, background): “Distributed components of several RSNs have been shown to be linked by anatomical connections 35,36 , and variations in the strengths of such connections are reflected in variations of functional connectivity 71 .”
• An Interoceptive Predictive Coding Model of Conscious Presence (2011, background): “The AIC and ACC are known to be functionally (Taylor et al., 2009) and structurally (van den Heuvel et al., 2009) connected.”
• Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS) (2012, methodology): “…subjects' aptitude for different cognitive tasks (Baldassarre et al., 2012; Hampson et al., 2006; Koyama et al., 2011; Seeley et al., 2007; van den Heuvel et al., 2009b; Zhu et al., 2011), facilitate refinement of neuro-anatomical models (Dosenbach and Fair, 2007; Fox et al., 2006a), and account…”
• 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).”
• Salience network integrity predicts default mode network function after traumatic brain injury (2012, methodology): “The SN comprises paralimbic structures—most prominently the AI and medial prefrontal areas such as the dACC and preSMA—which are anatomically and functionally interconnected (4, 28).”