Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus
By Yvette I. Sheline, Joseph L. Price, Zhizi Yan, Mark A. Mintun. Proceedings of the National Academy of Sciences of the United States of America, 2010
1,208 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/b53712da3f27fd60407bee652706e0add8893b5b
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
- B. Casey
- PhD Ian H. Gotlib
- PhD J. Paul Hamilton
- Phoebe Fogelman
- Madison Farmer
- Peng Fang
- Hui Shen
- Andrew T. Drysdale
In Experimental and Cognitive Psychology
- PhD Ian H. Gotlib
- PhD J. Paul Hamilton
- Phoebe Fogelman
- Madison Farmer
- B. Casey
- Andrew T. Drysdale
- Amit Etkin
- Matthew T. Sutherland
Citations in the corpus
- The Vascular Depression Hypothesis: Mechanisms Linking Vascular Disease with Depression (2013, positive): “Similar to our past approach in late-life depression (Sheline et al. 2010), we created rationally constructed composite domain variables from a broad test battery.”
- Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience (2015, background): “We propose, further, that, provided they show anomalous functional connectivity with specific structures in MDD (62), normal variation in activity in other intrinsic networks can constitute similar “dark matter” in the clinical neuroscience of depression that can be observed only through their…”
- Default Mode Network Mechanisms of Transcranial Magnetic Stimulation in Depression (2014, background): “Our DLPFC seed, which was predicted to lie within the stimulation field (Supplement 1), is adjacent to the CEN, as defined in a prior report, but not within it (20); however, activity in Brodmann area (BA) 46 is highly correlated with activity throughout the CEN and plays a critical role in cognitiv”
- Resting state functional connectivity in addiction: Lessons learned and a road ahead (2012, background): “(Sheline et al., 2010), schizophrenia (Williamson, 2007), anxiety, and dementia (Menon, 2011).”
- Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. (2012, methodology): “In addition, the altered connec- tivity between temporal poles and the parahippocampal gyrus, as well as the basal ganglia and orbitofrontal cortex, may reflect dysfunctions of visceral monitoring, which is compromised in depression (Sheline et al., 2010).”