Abstract
There is increasing interest in measuring large-scale functional-anatomic brain networks. This is fueled by the continued development over the last two decades of novel sophisticated neuroimaging procedures for assessment of brain networks in humans. Among multiple brain networks, the most frequently investigated system is the so-called default network. This network was originally identified as a set of brain regions consistently deactivated during tasks that require externally oriented attention. Later imaging studies showed that this network is active during internally focused cognitive processes such as moral decision making and planning of future behavior and also that it can reliably be identified during resting conditions. A growing number of studies indicate that various brain disorders are associated with dysfunction of brain networks, leading to the notion that measures of functional network integrity may serve as marker of neurologic and psychiatric disease states. For instance, disconnection of default network regions seems evident in very early stages of Alzheimer’s disease, and a striking topographical overlap has been shown between default network regions and the spatial distribution of different diagnostic markers of Alzheimer’s disease such as amyloid deposition, hypometabolism, and brain atrophy. In this chapter, we summarize the most important milestones from discovery of the default network by means of neuroimaging procedures to promising clinical applications and possible pitfalls of functional network measures.
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Van Dijk, K.R.A., Drzezga, A. (2014). The Default Network of the Brain. In: Dierckx, R., Otte, A., de Vries, E., van Waarde, A., Leenders, K. (eds) PET and SPECT in Neurology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54307-4_8
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