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A Manual, Semi-Automated and Automated ROI Study of fMRI Hemodynamic Response in the Caudate Nucleus | OMICS International | Abstract

OMICS Journal of Radiology
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Research Article

A Manual, Semi-Automated and Automated ROI Study of fMRI Hemodynamic Response in the Caudate Nucleus

Jing Zhang1*, Erin A Hazlett2, King-Wai Chu2 and Monte S Buchsbaum2
1Department of Bioinformatics, School of Biomedical Engineering, Capital Medical University, Beijing 100069, PR China
2Department of Psychiatry, Mount Sinai School of Medicine, New York, NY 10029, USA
Corresponding Author : Jing Zhang
School of Biomedical Engineering
Capital Medical University
Beijing 100069, PR China
Tel: +86-10-8391-1363
Fax: +86-10-8391-1544
E-mail: [email protected]
Received September 15, 2013; Accepted October 15, 2013; Published October 20, 2013
Citation: Zhang J, Hazlett EA, Chu KW, Buchsbaum MS (2013) A Manual, Semi-Automated and Automated ROI Study of fMRI Hemodynamic Response in the Caudate Nucleus. OMICS J Radiology 2:150. doi: 10.4172/2167-7964.1000150
Copyright: © 2013 Zhang J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


This study investigated abnormalities of fMRI Hemodynamic Response (HR) in the caudate nucleus in schizophrenia with manual, semi-automated and automated approaches. The three approaches were applied to generate the Region of Interest (ROI) and extract fMRI HR from the ROI. Compared with controls, less activation with delayed fMRI HR in the caudate were observed in the patient group. High correlations of the AUC were found between the manual and semi-automated ROI approaches, but not between the manual and the automated ROI approach. In addition, the location and size of the automated box ROI are critical for the fMRI HR curve extracted. The abnormal fMRI hemodynamic response in the caudate in the patient group may suggest functional deficits in the frontal-striatal-thalamic circuit in schizophrenia. To speed up fMRI data analysis in anatomical ROI, the semi-automated approach may be used as an alternative to the manual approach in detecting fMRI experimental effect.


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