Output details
11 - Computer Science and Informatics
University of Edinburgh
Article title
Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans
Type
D - Journal article
Title of journal
Cerebral Cortex
Article number
-
Volume number
22
Issue number
7
First page of article
1530
ISSN of journal
1047-3211
Year of publication
2012
Number of additional authors
3
Additional information
<28> Originality: A challenge for neuroscience is to describe gray matter morphology from individual MRI scans in a concise and useful way. Using Graph theory, we proposed a new method that provides a statistical description of individual gray matter as a network.
Significance: This method provides a tool to characterize different clinical groups. We are now studying its use and potential as a diagnostic tool in schizophrenia and Alzheimer's disease. A number of laboratories have expressed interest in using the method and our code.
Rigour: Published in high profile journal, Cerebral Cortex (Impact factor 6.84).
Interdisciplinary
Yes
Cross-referral requested
-
Research group
B - Institute for Adaptive & Neural Computation
Citation count
11
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
