What is it about?
This study is based on simple statistical measures such as mean and median on the time-series fMRI data. The study aims to identify the most relevant voxels in a brain activated during a task in schizophrenia patients.
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Why is it important?
The identifucation of voxels from individual schizophrenia subjects and healthy controls helps to find the most dintinct regions of the brain that show subtle functional changes in schizophrenia. This study is a novel approach of mean deviation on the voxel signal values to identify the relevant brain regions.
Perspectives
This article proposes a new way of simple and fast time-series analysis of fMRI data of schizophrenia. The proposed approach will select the relevant voxels directly from the 4-D fMRI data individually for each subject. This feature selection technique may be applied to fMRI data of other psychological disorders. The identified regions may help the clinicians to understand the functional condition of a schizophrenia brain.
Indranath Chatterjee
University of Delhi
Read the Original
This page is a summary of: Mean deviation based identification of activated voxels from time-series fMRI data of schizophrenia patients, F1000Research, October 2018, Faculty of 1000, Ltd.,
DOI: 10.12688/f1000research.16405.1.
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