منابع مشابه
On nodes and modes in resting state fMRI
This paper examines intrinsic brain networks in light of recent developments in the characterisation of resting state fMRI timeseries--and simulations of neuronal fluctuations based upon the connectome. Its particular focus is on patterns or modes of distributed activity that underlie functional connectivity. We first demonstrate that the eigenmodes of functional connectivity--or covariance amo...
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It is well established that it is possible to observe spontaneous, highly structured, fluctuations in human brain activity from functional magnetic resonance imaging (fMRI) when the subject is 'at rest'. However, characterising this activity in an interpretable manner is still a very open problem. In this paper, we introduce a method for identifying modes of coherent activity from resting state...
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BACKGROUND During the last years, functional magnetic resonance imaging (fMRI) of the brain has been introduced as a new tool to measure consciousness, both in a clinical setting and in a basic neurocognitive research. Moreover, advanced mathematical methods and theories have arrived the field of fMRI (e.g. computational neuroimaging), and functional and structural brain connectivity can now be...
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For the planning of surgical intervention in human brain tumour cases, it is important to know if critical brain areas might be affected by the surgical process itself. PET imaging using radiolabelled amino acids is a valuable technique for the diagnosis of cerebral gliomas. O-(2-[ 18 F]Fluorethyl)-L-Tyrosin (FET) is a well established amino acid tracer that delivers information about tumour ex...
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Over the past several years, resting-state fMRI (rsfMRI) has emerged as a novel informative method for investigating the development of large-scale functional networks in the human brain. This method, first used to demonstrate coherent spontaneous low-frequency fluctuations in BOLD signal within the adult somatomotor system (Biswal et al., 1995), involves collecting functional imaging data from...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2014
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2014.05.056