Appraising the brain's energy budget
By Marcus E. Raichle, D. Gusnard. Proceedings of the National Academy of Sciences of the United States of America, 2002
783 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/8a423f4279ff7e88e2f88d9d724a59149f03bc6a
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
- Marcus E. Raichle
- Olaf Sporns
- Nora D. Volkow
- Randy L. Buckner
- Abraham Z. Snyder
- Dardo Tomasi
- Edmund Sonuga-Barke
- Stefan Debener
In Molecular Biology
- Dardo Tomasi
- Nora D. Volkow
- D. Dormann
- J. Myers
- Joseph W. Kable
- Robert Kurzban
- Angela L. Duckworth
- Alexa M. Morcom
Citations in the corpus
- Mitochondrial dysfunction as a cause of optic neuropathies. (2004, background): “Although it makes up only about 2% of the average person's body weight, the human brain accounts for 20% of the body's total energy consumption (Raichle and Gusnard, 2002; Shulman et al., 2003).”
- Liquid-Liquid Phase Separation in Disease. (2019, background): “In fact, the brain consumes >20% of our baseline energy, even though it makes up only 2% of our body weight (129).”
- Differentiating transformational and non-transformational leaders on the basis of neurological imaging (2012, background): “Interestingly, there are many brain regions that actually show decreases in activity upon task activation (Raichle & Gusnard, 2002; Shulman et al., 1997).”
- An opportunity cost model of subjective effort and task performance (2013, positive): “Local changes in cerebral metabolism due to engaging in an experimental task are very small relative to the rate of metabolism at rest (Raichle & Gusnard 2002).”
- Does the brain have a baseline? Why we should be resisting a rest (2007, background): “As noted earlier, although OEF is constant across the brain at rest, the level of neural signaling varies widely across the cortex, being greatest in certain ‘default mode’ regions that have therefore been described as “active but not activated” at rest (Raichle and Gusnard, 2002).”
- Functional connectivity hubs in the human brain (2011, positive): “The brain regions with the highest gFCD have been shown to exhibit some of the highest resting metabolic rates in humans (Langbaum et al., 2009; Raichle and Gusnard, 2002) (including visual cortex) and to have up to 2.5 times higher neuronal density than other cortical regions (Changeux, 1997),…”
- Functional connectivity density mapping (2010, background): “The precuneus is a brain region whose activity is associated with the overall state of consciousness (22) and positron emission tomography (PET) studies consistently show it has the highest metabolism in brain (along with cingulate and visual cortical areas) (23, 24), suggesting that it is an import”
- A default mode of brain function: A brief history of an evolving idea (2007, background): “That paper and those that followed (Gusnard and Raichle, 2001; Raichle and Gusnard, 2002, 2005; Raichle, 2006; Raichle and Mintun, 2006) have generated far more interest, discussion and controversy than we anticipated.”
- Default-mode brain dysfunction in mental disorders: a systematic review. (2009, background): “A comparison of brain energy utilization during rest and activetask oriented conditions indicates that consumption is only slightly greater for the active than the resting brain (Raichle and Gusnard, 2002; Raichle and Mintun, 2006).”