Disease and the brain's dark energy
- PMID: 20057496
- DOI: 10.1038/nrneurol.2009.198
Disease and the brain's dark energy
Abstract
Brain function has traditionally been studied in terms of physiological responses to environmental demands. This approach, however, ignores the fact that much of the brain's energy is devoted to intrinsic neuronal signaling. Recent studies indicate that intrinsic neuronal activity manifests as spontaneous fluctuations in the blood oxygen level-dependent (BOLD) functional MRI (fMRI) signal. The study of such fluctuations could potentially provide insight into the brain's functional organization. In this article, we begin by presenting an overview of the strategies used to explore intrinsic neuronal activity. Considering the possibility that intrinsic signaling accounts for a large proportion of brain activity, we then examine whether the functional architecture of intrinsic activity is altered in neurological and psychiatric diseases. We also review a clinical application of brain mapping, in which intrinsic activity is employed for the preoperative localization of functional brain networks in patients undergoing neurosurgery. To end the article, we explore some of the basic science pursuits that have been undertaken to further understand the physiology behind intrinsic activity as imaged with BOLD fMRI.
Similar articles
-
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.Nat Rev Neurosci. 2007 Sep;8(9):700-11. doi: 10.1038/nrn2201. Nat Rev Neurosci. 2007. PMID: 17704812 Review.
-
The global signal and observed anticorrelated resting state brain networks.J Neurophysiol. 2009 Jun;101(6):3270-83. doi: 10.1152/jn.90777.2008. Epub 2009 Apr 1. J Neurophysiol. 2009. PMID: 19339462 Free PMC article.
-
Physiological origin of low-frequency drift in blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI).Magn Reson Med. 2009 Apr;61(4):819-27. doi: 10.1002/mrm.21902. Magn Reson Med. 2009. PMID: 19189286
-
Reaching across the abyss: recent advances in functional magnetic resonance imaging and their potential relevance to disorders of consciousness.Prog Brain Res. 2009;177:261-74. doi: 10.1016/S0079-6123(09)17718-X. Prog Brain Res. 2009. PMID: 19818907
-
Resting state networks in paroxysmal disorders of consciousness.Epilepsy Behav. 2013 Mar;26(3):290-4. doi: 10.1016/j.yebeh.2012.09.020. Epub 2012 Oct 22. Epilepsy Behav. 2013. PMID: 23089152 Review.
Cited by
-
Detection of functional networks within white matter using independent component analysis.Neuroimage. 2020 Nov 15;222:117278. doi: 10.1016/j.neuroimage.2020.117278. Epub 2020 Aug 22. Neuroimage. 2020. PMID: 32835817 Free PMC article.
-
Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.Front Comput Neurosci. 2013 Apr 25;7:38. doi: 10.3389/fncom.2013.00038. eCollection 2013. Front Comput Neurosci. 2013. PMID: 23630491 Free PMC article.
-
Characterizing functional integrity: intraindividual brain signal variability predicts memory performance in patients with medial temporal lobe epilepsy.J Neurosci. 2013 Jun 5;33(23):9855-65. doi: 10.1523/JNEUROSCI.3009-12.2013. J Neurosci. 2013. PMID: 23739982 Free PMC article.
-
Topological properties and connectivity patterns in brain networks of patients with refractory epilepsy combined with intracranial electrical stimulation.Front Neurosci. 2023 Nov 23;17:1282232. doi: 10.3389/fnins.2023.1282232. eCollection 2023. Front Neurosci. 2023. PMID: 38075280 Free PMC article.
-
Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment.J Alzheimers Dis. 2016 Oct 4;54(3):1095-1112. doi: 10.3233/JAD-160092. J Alzheimers Dis. 2016. PMID: 27567817 Free PMC article.
References
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical