Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks

Theodore D Satterthwaite; Cedric H Xia; Danielle S Bassett

doi:10.1016/j.neuron.2018.04.007

Personalized Neuroscience: Common and Individual-Specific Features in Functional Brain Networks

Neuron. 2018 Apr 18;98(2):243-245. doi: 10.1016/j.neuron.2018.04.007.

Authors

Theodore D Satterthwaite¹, Cedric H Xia², Danielle S Bassett³

Affiliations

¹ Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. Electronic address: sattertt@pennmedicine.upenn.edu.
² Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
³ Department of Bioengineering, University of Pennsylvania, School of Engineering and Applied Sciences, Philadelphia, PA 19104, USA; Department of Electrical and Systems Engineering, University of Pennsylvania, School of Engineering and Applied Sciences, Philadelphia, PA 19104, USA; Department of Physics & Astronomy, University of Pennsylvania, School of Engineering and Applied Sciences, Philadelphia, PA 19104, USA; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.

PMID: 29673476
DOI: 10.1016/j.neuron.2018.04.007

Abstract

Despite the translational promise of non-invasive neuroimaging, its practical application to individuals has remained largely elusive. In this issue of Neuron, Gratton et al. (2018) present data from nine highly sampled adult humans and demonstrate that functional brain networks are in large part composed of individual-specific features that are stable over time. Such data represent a critical prerequisite for the development of new diagnostics and personalized interventions for neuropsychiatric illnesses.

Keywords: fMRI; functional connectivity; networks; neuroimaging; personalized medicine.

Publication types

Research Support, N.I.H., Extramural
Comment

MeSH terms

Adult
Brain*
Humans
Neuroimaging
Neurosciences*