Document Detail


Fledgling pathoconnectomics of psychiatric disorders.
MedLine Citation:
PMID:  24238779     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Pathoconnectomics, the mapping of abnormal brain networks, is a popular current framework for the study of brain dysfunction in psychiatric disorders. In this review we evaluate the conceptual foundations of this framework, describe the construction and analysis of empirical models of brain networks or connectomes, and summarize recent reports of the large-scale whole-brain connectome organization of two candidate brain-network disorders, schizophrenia and autism. We consider the evidence for the abnormal brain-network nature of psychiatric disorders and find it inconclusive. For instance, although there is some evidence for more random whole-brain network organization in schizophrenia and autism, future studies need to determine if these and other observed brain-network abnormalities represent sufficient phenotypes of psychiatric disorders, in order to validate pathoconnectomics as a scientific and clinical framework.
Authors:
Mikail Rubinov; Ed Bullmore
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-11-15
Journal Detail:
Title:  Trends in cognitive sciences     Volume:  -     ISSN:  1879-307X     ISO Abbreviation:  Trends Cogn. Sci. (Regul. Ed.)     Publication Date:  2013 Nov 
Date Detail:
Created Date:  2013-11-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9708669     Medline TA:  Trends Cogn Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier Ltd. All rights reserved.
Affiliation:
Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK; Behavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge, UK; Churchill College, University of Cambridge, Cambridge, UK. Electronic address: mr572@cam.ac.uk.
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