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Encyclopedia of Clinical Neuropsychology pp 1–2Cite as

Network Nodes

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Synonyms

Vertices, Points

Definition

In a network graph, each node is a point representing a distinct element within the system. Interactions between nodes are represented by lines or edges.

Current Knowledge

There are a two basic approaches to node definition in neuroimaging: using an undivided and unprocessed source of signal (e.g., an fMRI or MEG voxel or EEG electrode) or using an averaged (in fMRI and MEG) or spatially reconstructed (in EEG) signal localized in an anatomically or functionally based region of interest (ROI). fMRI networks built from nodes defined as individual voxels result in graphs with node counts ranging from ~5000 to ~150,000, depending on voxel size and choice (Stanley et al. 2013). This approach has been advocated due to the higher spatial resolution and potential for model-free analysis. The downsides, however, include a lower signal-to-noise ratio and increased graph size, resulting in increased analysis complexity and computational load (De Vico Fallani...

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References and Readings

  • De Vico Fallani, F., Richiardi, J., Chavez, M., & Achard, S. (2014). Graph analysis of functional brain networks: Practical issues in translational neuroscience. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1653), 20130521. doi:10.1098/rstb.2013.0521.

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  • Stanley, M. L., Moussa, M. N., Paolini, B. M., Lyday, R. G., Burdette, J. H., & Laurienti, P. J. (2013). Defining nodes in complex brain networks. Frontiers in Computational Neuroscience, 7, 169. doi:10.3389/fncom.2013.00169.

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  • Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., et al. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical Parcellation of the MNI MRI single-subject brain. NeuroImage, 15(1), 273–289. doi:10.1006/nimg.2001.0978.

    Article  PubMed  Google Scholar 

  • Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yucel, M., Pantelis, C., et al. (2010). Whole-brain anatomical networks: Does the choice of nodes matter? NeuroImage, 50(3), 970–983. doi:10.1016/j.neuroimage.2009.12.027.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Psychology Department and the Neuroscience Center, Brigham Young University, Provo, UT, USA

    Brock Kirwan & Ty Bodily

Authors
  1. Brock Kirwan
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  2. Ty Bodily
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Corresponding author

Correspondence to Brock Kirwan .

Editor information

Editors and Affiliations

  1. Richmond, Virgin Islands, USA

    Jeffrey Kreutzer

  2. Kessler Foundation , West Orange, New Jersey, USA

    John DeLuca

  3. Suite 200 , Wynnewood, Pennsylvania, USA

    Bruce Caplan

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© 2017 Springer International Publishing AG

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Cite this entry

Kirwan, B., Bodily, T. (2017). Network Nodes. In: Kreutzer, J., DeLuca, J., Caplan, B. (eds) Encyclopedia of Clinical Neuropsychology. Springer, Cham. https://doi.org/10.1007/978-3-319-56782-2_9073-1

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  • DOI: https://doi.org/10.1007/978-3-319-56782-2_9073-1

  • Received:

  • Accepted:

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56782-2

  • Online ISBN: 978-3-319-56782-2

  • eBook Packages: Springer Reference Behavioral Science and PsychologyReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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