Universität zu Köln

Thanarajah, Sharmili Edwin, Han, Cheol E., Rotarska-Jagiela, Anna, Singer, Wolf, Deichmann, Ralf, Maurer, Konrad, Kaiser, Marcus ORCID: 0000-0002-4654-3110 and Uhlhaas, Peter J. (2016). Abnormal Connectional Fingerprint in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data. Front. Psychiatry, 7. LAUSANNE: FRONTIERS MEDIA SA. ISSN 1664-0640

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Abstract

The graph theoretical analysis of structural magnetic resonance imaging (MRI) data has received a great deal of interest in recent years to characterize the organizational principles of brain networks and their alterations in psychiatric disorders, such as schizophrenia. However, the characterization of networks in clinical populations can be challenging, since the comparison of connectivity between groups is influenced by several factors, such as the overall number of connections and the structural abnormalities of the seed regions. To overcome these limitations, the current study employed the whole-brain analysis of connectional fingerprints in diffusion tensor imaging data obtained at 3 T of chronic schizophrenia patients = 16) and healthy, age-matched control participants (n = 17). Probabilistic tractography was performed to quantify the connectivity of 110 brain areas. The connectional fingerprint of a brain area represents the set of relative connection probabilities to all its target areas and is, hence, less affected by overall white and gray matter changes than absolute connectivity measures. After detecting brain regions with abnormal connectional fingerprints through similarity measures, we tested each of its relative connection probability between groups. We found altered connectional fingerprints in schizophrenia patients consistent with a dysconnectivity syndrome. While the medial frontal gyrus showed only reduced connectivity, the connectional fingerprints of the inferior frontal gyrus and the putamen mainly contained relatively increased connection probabilities to areas in the frontal, limbic, and subcortical areas. These findings are in line with previous studies that reported abnormalities in striatal-frontal circuits in the pathophysiology of schizophrenia, highlighting the potential utility of connectional fingerprints for the analysis of anatomical networks in the disorder.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Thanarajah, Sharmili Edwin UNSPECIFIED UNSPECIFIED UNSPECIFIED Han, Cheol E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Rotarska-Jagiela, Anna UNSPECIFIED UNSPECIFIED UNSPECIFIED Singer, Wolf UNSPECIFIED UNSPECIFIED UNSPECIFIED Deichmann, Ralf UNSPECIFIED UNSPECIFIED UNSPECIFIED Maurer, Konrad UNSPECIFIED UNSPECIFIED UNSPECIFIED Kaiser, Marcus UNSPECIFIED orcid.org/0000-0002-4654-3110 UNSPECIFIED Uhlhaas, Peter J. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-271922
DOI:	10.3389/fpsyt.2016.00114
Journal or Publication Title:	Front. Psychiatry
Volume:	7
Date:	2016
Publisher:	FRONTIERS MEDIA SA
Place of Publication:	LAUSANNE
ISSN:	1664-0640
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WHITE-MATTER INTEGRITY; PREFRONTAL CORTEX; HUMAN BRAIN; FUNCTIONAL CONNECTIVITY; INTERMEDIATE PHENOTYPE; WORKING-MEMORY; BASAL GANGLIA; TRACTOGRAPHY; PARCELLATION; REPRODUCIBILITY Multiple languages Psychiatry Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/27192