Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2017 Feb 7:11:47.
doi: 10.3389/fnhum.2017.00047. eCollection 2017.

Commentary: Functional connectome fingerprint: identifying individuals using patterns of brain connectivity

Affiliations
Comment

Commentary: Functional connectome fingerprint: identifying individuals using patterns of brain connectivity

Claudinei E Biazoli Jr et al. Front Hum Neurosci. .
No abstract available

Keywords: connectome; executive function; functional networks development; intelligence; psychopatological features.

PubMed Disclaimer

Comment on

References

    1. Finn E. S., Shen X., Scheinost D., Rosenberg M. D., Huang J., Chun M. M., et al. (2015). Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat. Neurosci. 18, 1664–1671. 10.1038/nn.4135 - DOI - PMC - PubMed
    1. Gordon E. M., Laumann T. O., Adeyemo B., Huckins J. F., Kelley W. M., Petersen S. E. (2014). Generation and evaluation of a cortical area parcellation from resting-state correlations. Cereb. Cortex 26, 288–303. 10.1093/cercor/bhu239 - DOI - PMC - PubMed
    1. Insel T. R. (2014). The NIMH research domain criteria (RDoC) project: precision medicine for psychiatry. Am. J. Psychiatry 171, 395–397. 10.1176/appi.ajp.2014.14020138 - DOI - PubMed
    1. Miranda-Dominguez O., Mills B. D., Carpenter S. D., Grant K. A., Kroenke C. D., Nigg J. T., et al. (2014). Connectotyping: model based fingerprinting of the functional connectome. PLoS ONE 9:e111048. 10.1371/journal.pone.0111048 - DOI - PMC - PubMed
    1. Poldrack R. A., Barch D. M., Mitchell J. P., Wager T. D., Wagner A. D., Devlin J. T., et al. (2013). Toward open sharing of task-based fMRI data: the OpenfMRI project. Front. Neuroinformatics 7:12. 10.3389/fninf.2013.00012 - DOI - PMC - PubMed

LinkOut - more resources