Functional connectivity density mapping

By Dardo Tomasi, Nora D. Volkow. Proceedings of the National Academy of Sciences of the United States of America, 2010

641 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d22b82c48b7aeac40073cb36862a50fac5825a57

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. Michael P. Milham
6. D. Bassett
7. Martijn P. van den Heuvel
8. E. Bullmore

In Radiology, Nuclear Medicine and Imaging

1. Olaf Sporns
2. Xi-Nian Zuo
3. Yong He
4. Jinhui Wang
5. Michael P. Milham
6. Martijn P. van den Heuvel
7. Chaogan Yan
8. Yufeng Zang

Citations in the corpus

• The Influence of Head Motion on Intrinsic Functional Connectivity MRI (2011, methodology): “All seed regions had a radius of 4 mm. Finally, a measure of local functional coupling was calculated as described in detail elsewhere (Sepulcre et al., 2010; see also Tomasi and Volkow, 2010).”
• Network-Level Structure-Function Relationships in Human Neocortex (2016, background): “…functional connectivity profiles of brain areas are often correlated, such that central, well-connected structural hubs (Hagmann et al. 2008; Gong et al. 2009) are also likely to play central roles in shaping functional connectivity (Buckner et al. 2009; Tomasi and Volkow 2010; Shen et al. 2012).”
• Toward open sharing of task-based fMRI data: the OpenfMRI project (2013, methodology): “…of summary statistics) of this dataset provided novel insights into the stability and variability of resting state networks (Biswal et al., 2010), and other groups have already used the data to make new discoveries about the organization of resting brain networks (Tomasi and Volkow, 2010).”
• Abnormal rich club organization and functional brain dynamics in schizophrenia. (2013, background): “Schizoaffective disorder 13 (27) 6 (15) Othere 0f 4 (10)f Duration of illness, mean (SD), ya 6.”
• Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain (2013, methodology): “from the “Bergen n-back task” J Clin Exp Neuropsychol 32(8):871–880.”
• Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “…has progressed given the moderate-to-high test–retest reliability across scans (Castellanos et al., 2013), but studies are ongoing examining the consistency of findings within a given scan (Chang and Glover, 2010), as well as across magnets and sites (Biswal et al., 2010; Tomasi and Volkow, 2010).”
• Precuneus Is a Functional Core of the Default-Mode Network (2014, background): “the precuneus as a key cortical hub (Tomasi and Volkow, 2010).”
• GRETNA: a graph theoretical network analysis toolbox for imaging connectomics (2015, result): “These identified hubs are comparable with previous structural and functional brain network studies (Hagmann et al., 2008; Buckner et al., 2009; Gong et al., 2009; Tomasi and Volkow, 2010; Liang et al., 2013).”
• Making big data open: data sharing in neuroimaging (2014, methodology): “The 1,000 Functional Connectomes project 25 serves as an excellent example; data from this project have been used in a number of papers to demonstrate the application of new methods 26–29 .”