Influence of wiring cost on the large-scale architecture of human cortical connectivity
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 206151_49389
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1003557
- Title of journal
- PLoS Computational Biology
- Article number
- e1003557
- First page
- -
- Volume
- 10
- Issue
- 4
- ISSN
- 1553-734X
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1371/journal.pcbi.1003557
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 44
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "The paper effectively challenges the classical functional interpretation of brain connectomics by showing that the constraints posed by spatial embedding into a 3 dimensional skull are possible confounders for the efficient brain network hypothesis. It has been cited by leading authors in brain connectomics (Sporns, Bullmore, e.g. [1-4]) and has as such attracted a lot of international attention. Field-weighted citation impact 2.59 (Scopus).
https://doi.org/10.1016/j.tics.2016.03.001
https://doi.org/10.1146/annurev-psych-122414-033634
https://doi.org/10.1016/j.neuroimage.2015.09.041
https://doi.org/10.1007/978-3-319-27777-6_8"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -