A multi-modal parcellation of human cerebral cortex
- Submitting institution
-
King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 97970236
- Type
- D - Journal article
- DOI
-
10.1038/nature18933
- Title of journal
- Nature
- Article number
- -
- First page
- 171
- Volume
- 536
- Issue
- 7615
- ISSN
- 0028-0836
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- 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
-
11
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Every brain imaging study into cognition/behaviour/neurological disorder/psychosis needs a model of cortical organisation; without it there is no way of comparing across datasets. This paper presents the most precise model of cortical organisation ever derived from brain imaging data. Representing the culmination of the Human Connectome Project (https://www.humanconnectome.org/), a hugely influential open-data project, which has pushed the boundaries of neuroimage processing, with 13,000 users worldwide. This result was generated from 210 datasets, replicated in a set of 210, and was shown to replicate known histology. The importance was recognised through worldwide media coverage (e.g. https://www.bbc.co.uk/news/science-environment-36854457 , https://www.wired.co.uk/article/map-human-brain-cortex).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -