International Journal of Computational Intelligence Systems

Volume 2, Issue 4, December 2009, Pages 375 - 385

Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia

Authors
Ming Ke, Hui Shen, Jintu Fan, Xing Huang, Zongtan Zhou, Xiaogang Chen, Dewen Hu
Corresponding Author
Ming Ke
Received 27 December 2008, Accepted 18 September 2009, Available Online 1 December 2009.
DOI
https://doi.org/10.2991/ijcis.2009.2.4.6How to use a DOI?
Keywords
Functional connectivity, Anatomical connectivity, Resting fMRI, Fractional anisotropy, Earlyonset schizophrenia
Abstract
We combined measures of resting-state functional magnetic resonance imaging and diffusion tensor imaging (DTI) to investigate alterations of function-structure relationships in patients with early-onset schizophrenia. DTI analysis revealed reduced fractional anisotropy in right frontal white matter. Corresponding gray matter regions showed reduced functional connectivity with other regions in the brain in patients with early-onset schizophrenia, compared with healthy controls. Our results demonstrated abnormal function-structure relationships in early-onset schizophrenia, and supported the view that white matter lesions might disrupt the neural circuits between frontal regions and other brain regions, and affect the functional connectivity in the frontal cortex.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 4
Pages
375 - 385
Publication Date
2009/12
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2009.2.4.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Ming Ke
AU  - Hui Shen
AU  - Jintu Fan
AU  - Xing Huang
AU  - Zongtan Zhou
AU  - Xiaogang Chen
AU  - Dewen Hu
PY  - 2009
DA  - 2009/12
TI  - Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia
JO  - International Journal of Computational Intelligence Systems
SP  - 375
EP  - 385
VL  - 2
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.4.6
DO  - https://doi.org/10.2991/ijcis.2009.2.4.6
ID  - Ke2009
ER  -